Data Programming In Python

Coursework 2

The Study of Building a Predictive Artificial Neural Network (ANN) Model for the Development of New and Suitable Gamma-Based Titanium Alloys (γ) and (α2 + γ) for High Temperature Aerospace Applications

1. Introduction

1.1 Literature Review
1.2 Titanium Aluminide (TiAl) Dataset Origins, Reproduction and Permissions for Reusability
1.3 Materials Science, Machine Learning and Artificial Intelligence
1.4 Aims and Objectives

2. Data Preprocessing and Preparation

2.1 Modules Import
2.2 Dataframe Settings Modification
2.3 Dataset Import
2.4 Dataset Conversion
2.5 Remove Unnecessary Columns
2.6 Replace Missing Values
2.7 Convert Elements Atomic Percentages (at%) to Weight Percentages (wt%)
2.8 Additional Columns for Elements Weight Percentages (wt%) Into Dataframe
2.9 Cost Calculation (USD/kg)
2.10 Additional Columns for Cost Calculation (USD/kg) Into Dataframe
2.11 Categorical Variables Processing (process_text Function)
2.12 Categorical Variables Processing (remove_punctuations Function)
2.13 Categorical Variables Processing (Tokenising and Stemming)
2.14 Categorical Variables Processing (Punctuations Removal After Tokenising and Stemming)
2.15 Categorical Variables Processing (Label Encoding)
2.16 Drop Elements Weight Percentages (wt%) Columns
2.17 Pearson Correlations
2.18 Additional Columns for Pearson Correlations Into Independent Dataframe

3. Linear Regression Machine Learning Model

3.1 Linear Regression (Cost)
3.2 Dataframe Representation of Predicted Output Cost Values with Input Target Cost Values
3.3 Graphical Representation of Predicted Output Cost Values with Input Target Cost Values

4. Multilayer Perceptron (MLP) Machine Learning Model

4.1 Multilayer Perceptron (MLP) Hyperparameters Optimization
4.2 Multilayer Perceptron (MLP) (Cost)
4.3 Dataframe Representation of Predicted Output Cost Values (MLP) with Input Target Cost Values (MLP)
4.4 Graphical Representation of Predicted Output Cost Values (MLP) with Input Target Cost Values (MLP)
4.5 Yield Strength Best Parameters Selection (MLP)
4.6 Multilayer Perceptron (MLP) (Yield Strength)
4.7 Dataframe Representation of Predicted Output Yield Strength Values (MLP) with Input Target Yield Strength Values (MLP)
4.8 Graphical Representation of Predicted Output Yield Strength Values (MLP) with Input Target Yield Strength Values (MLP)
4.9 Tensile Strength Best Parameters Selection (MLP)
4.10 Multilayer Perceptron (MLP) (Tensile Strength)
4.11 Dataframe Representation of Predicted Output Tensile Strength Values (MLP) with Input Target Tensile Strength Values (MLP)
4.12 Graphical Representation of Predicted Output Tensile Strength Values (MLP) with Input Target Tensile Strength Values (MLP)
4.13 Elongation Best Parameters Selection (MLP)
4.14 Multilayer Perceptron (MLP) (Elongation)
4.15 Dataframe Representation of Predicted Output Elongation Values (MLP) with Input Target Elongation Values (MLP)
4.16 Graphical Representation of Predicted Output Elongation Values (MLP) with Input Target Elongation Values (MLP)

5. Linear Regression Model Vs. Multilayer Perceptron (MLP) Vs. Alchemite

5.1 Alchemite
5.2 Alchemite JSON File Code
5.3 Linear Regression Model Vs. Multilayer Perceptron (MLP) Vs. Alchemite (Cost Prediction)
5.4 Multilayer Perceptron (MLP) Vs. Alchemite (Yield Strength Prediction)
5.5 Multilayer Perceptron (MLP) Vs. Alchemite (Tensile Strength Prediction)
5.6Multilayer Perceptron (MLP) Vs. Alchemite (Elongation Prediction)
5.7 Methodology Principle For Multilayer Perceptron (MLP) Configuration and Alchemite

6. Limitations and Challenges

6. Limitations and Challenges

7. Conclusion

7. Conclusion

8. Future Work

8. Future Work

9. References

9. References

1. Introduction

1.1 Literature Review

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Titanium alloys always contain titanium (Ti) as the main element and a second alloying element. These alloys are much stronger and have higher corrosion resistance at higher operating temperatures compared to commercially pure titanium (Ti) and the addition of the aluminium alpha (α) phase stabilizer is responsible for the increase in corrosion resistance and strength (Wu, 2006).

Single-phase α-titanium alloys exhibit higher brittleness compared to the other counterparts which consist of beta (β) phase stabilizers. The other variations of titanium alloys consist of the near alpha (α), 2-phase alpha (α) + beta (β), near beta (β), beta (β), near gamma (γ) and gamma phase (γ) alloys. The function of the beta (β) phase stabilizers is to increase the ductility for heat treatment processes such as annealing by increasing the beta (β) phase formation likelihood (Kim, 1995).

The formation of these phases can be interpreted using the titanium aluminide (TiAl) phase diagram with the working temperatures and the compositions of aluminium (Al) content. Each variation of titanium alloys exhibit different microstructures based on their cooling methods from a solid strengthened solution at high temperatures and their properties vary with respect to mechanical performance tests such as tensile, fatigue creep and compressive tests (Kim, 1995). Some of these tests can also be done at elevated temperatures to test their performances at high temperatures for evaluation of their properties for high temperature applications (Wu, 2006).

The most commercially used variation of the titanium alloys is the titanium aluminide (TiAl) 2-phase alpha (α) + beta (β) alloy with aluminium (4%) as the second phase particle for strengthening the alpha (α) phase and vanadium (V) as the beta (β) phase stabilizer (6%) for strengthening the beta (β) phase and the name of the alloy is Ti-6Al-4V (Kim, 1995). The Ti-6Al-4V alloy is commonly used to manufacture compressor blades for turbine engines on the cold section of the engine where heat is not significantly present (Kim, 1995). Medical grade Ti-6Al-4V can be used for orthopaedic and dental applications for bone replacement (Rodriguez, Bowen, Zelzer and Stamboulis, 2020).

However, there are 2 variations of titanium aluminide (TiAl) alloys which are not commonly used and it is still a subject of research for properties determination and applications and that variation of titanium aluminide (TiAl) is the gamma phase (γ) alloy and the alpha (α2) phase (Ti3Al) (McBride, Malinov and Sha, 2004). The gamma phase (γ) can also be mixed with the (α2) phase (Ti3Al) ((α2) + (γ)) during microstructure formation upon cooling. Their respective formation temperatures with respect to the percentage of aluminium composition additions can be interpreted in the phase diagram just as with the other variations of titanium alloys. The 2-phase alpha (α) + beta (β) alloys are the ones used to currently manufacture the blades.

In [1]:
# Import required modules for image processing and plotting

import matplotlib.pyplot as plt
from PIL import Image 
In [2]:
# Phase diagram illustration to show the various phases formed for the TiAl alloys with respect to temperature and Al% content

Phase_Diagram = Image.open(r"./Phase_Diagram.png")

plt.imshow(Phase_Diagram)

plt.show()

From the phase diagram displayed above, with the aluminium alloying additions increasing beyond 20% as indicated on the lower x-axis, the titanium alloy will form titanium aluminide intermetallic compounds (γ) (TiAl) and ((α2) + (γ)) (Ti3Al + TiAl) phases upon cooling from the liquid (L) phase due to the high weight percentages of aluminium atoms bonding with the titanium atoms in large quantities.

Several other compounds formed besides TiAl (γ), Ti3Al ((α2) are the TiAl2, TiAl3 and α-TiAl3 (Ma et al., 2020). The 2 dominant phases that make up the overall varying compositions of various (γ) (TiAl) and ((α2) + (γ)) (Ti3Al + TiAl) titanium aluminides are the TiAl (γ), Ti3Al ((α2) phases with aluminium atomic percentages above 20%.

1.2 Titanium Aluminide (TiAl) Dataset Origins, Reproduction and Permissions for Reusability

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The titanium aluminide (TiAl) dataset being used for this coursework is part of an actual research project conducted by Nanyang Technological University (NTU) and Institute of High-Performance Computing (IHPC) in Singapore to determine several predicted material properties that can be used to synthesize a new titanium aluminide (TiAl) alloy by incorporating several existing properties into artificial neural networks.

This dataset was compiled in 2019 by me and 2 other researchers at the Nanyang Technological University (NTU). The final expected outcome of the actual project will be to have an artificial neural network with a good predictive model to predict several combinations of the best material properties for the (γ) and ((α2) + (γ)) titanium alumimides which can rival the properties of nickel superalloys for use in the hot sections of turbine engines in terms of strength, durability and long-term fatigue with the use of artificial neural networks.

This dataset is useful as it includes a total of 284 types of existing titanium aluminide (TiAl) alloys with a wide range of essential material properties like second element alloying compositions, cost, yield strength, tensile strength, elongation, fracture toughness, processing methods etc. This dataset is not readily available on the internet as it is confidential in terms of free sharing but special permission was granted by the project managers at both abovementioned institutes to make use of this dataset for this coursework.

This dataset was also chosen as it has been used by fellow data scientists who are involved in this project and it has also been incorporated into Alchemite which is an artificial neural network made by a company known as Intellegens in the UK for cost predictions as well as property predictions. Intellegens (UK) is also collaborating with Nanyang Technological University (NTU) and the Institute of High-Performance Computing (IHPC) for this project and the chief technical officer Dr Gareth Conduit is responsible for training researchers on the fundamentals and aspects of using neural networks such as Alchemite as a machine learning method to predict material properties.

1.3 Materials Science, Machine Learning and Artificial Intelligence

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Artificial intelligence has now become advanced enough that it can applied to materials science. This is achievable by compiling experimental data results inputs with complex mathematical permutations for correlation through a user-defined ANN with specific sets of programmed flow of instructions and predict the probability of synthesizing a new material with the desired newly tailored properties for the desired applications (Malinov and Sha, 2004).

To understand the capabilities and mechanical properties of (γ) and ((α2) + (γ)), artificial intelligence can be deployed using an ANN where a set of programmable instructions can be made using a programmable language such as python with experimental data inputs being administered with a sequential flow of mathematical calculations and iterations. This will then determine if the predicted material properties can fit the criteria of being used in the hot sections of aircraft turbine engines in conjunction with nickel superalloys or as a replacement for nickel superalloys.

With the combination of the appropriate input and output parameters related to the composition-property and property-property relationships and training methods, it is possible to create an ANN that can predict the material properties which are necessary for the (γ) and ((α2) + (γ)) to have for them to operate at high temperature conditions in aircraft turbine engines.

1.4 Aims and Objectives

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In coursework 1, a linear regression model was used to predict the cost values using the atomic percentage composition (at%) values for each element present within each variation of the (γ) and ((α2) + (γ)) titanium aluminide (TiAl) alloy and the output R2 value was compared with Alchemite which was the artificial neural network that was used for the actual project. This was the aim and objective of coursework 1.

It was seen that the best prediction made by the linear regression model (R2 = 0.9989) and Alchemite (R2 = 0.9751) were very similar, indicating that the linear regression model can predict the cost values efficiently. A K-Fold cross validation was also done to display the respective R2 values for each segment of the dataset with 5 splits with 80% of the data being used as the training set and 20% of the data being used as the test set and the respective R2 values were within the range of 0.80 to 0.99 with everchanging seed values. The noisy version of the data provided lower R2 values with larger deviations of mean squared errors.

The same linear regression model however, may not be used to predict the essential mechanical properties such as the yield strength and tensile strength as the predictions can possibly be no longer linear, leading to possible non-linear relationships between the independent (X) and dependent (y) (yield strength, tensile strength, Elongation (Log 10)) variables.

For this coursework, the essential mechanical properties which are the yield strength, tensile strength and Elongation (Log 10) shall be predicted based on the multi-layer perceptron (MLP) neural network model and the R2 values for each of the predictions of each of the mechanical properties will be compared with the respective R2 values provided by Alchemite to distinguish the advantages and disadvantages seen between both neural networks.

By comparing the R2 values between both neural networks and their respective advantages and disadvantages, it will contribute a huge step towards the primary outcome of the actual project stated below. The cost predictions will also be done using the multi-layer perceptron (MLP) neural network model and the R2 value derived will be compared with the R2 value derived from the linear regression model to verify if it can reproduce the same results as the linear regression model.

The primary expected outcome of the actual project will be to have an artificial neural network with a good predictive model to predict several combinations of the best material properties for the (γ) and ((α2) + (γ)) titanium alumimides which can rival the properties of nickel superalloys for use in the hot sections of turbine engines in terms of strength, durability and long-term fatigue.

2. Data Preprocessing and Preparation

2.1 Modules Import

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The modules required for this coursework were imported accordingly from various python libraries. The modules necessary for image plotting and display have been defined earlier as the titanium aluminide (TiAl) phase diagram had to be explained as part of the introduction and the image had to be imported into python earlier.

In [3]:
# Import required modules 

import numpy as np
import pandas as pd
import statistics as st
import matplotlib
import matplotlib.pyplot as plt
import re as re
import string
import itertools
import statsmodels.api as sm

from PIL import Image 
from nltk.stem.snowball import SnowballStemmer
from nltk.util import ngrams
from statistics import mean
from numpy import arange
from scipy.stats import pearsonr

from sklearn.preprocessing import LabelEncoder, StandardScaler
from sklearn.metrics import mean_squared_error, r2_score
from sklearn.model_selection import train_test_split, KFold, cross_val_score, RandomizedSearchCV
from sklearn.linear_model import LinearRegression 
from sklearn.neural_network import MLPRegressor

2.2 Dataframe Settings Modification

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The dataframe dimensions had to be maximized to accomodate all dimensions of the dataframe without truncation to allow the data within the large dataframes to be visualised easily, hence the dataframe maximizing settings were initialized.

In [4]:
# Maximize dataframe rows and columns for easier visualisations

pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_colwidth', None)
pd.set_option('display.width', None)
pd.set_option('display.expand_frame_repr', True)

2.3 Dataset Import

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The dataset was first imported as an excel spreadsheet.

In [5]:
# Import dataset (excel)

TiAl_Input = pd.read_excel(r"./Dataset2.xlsx")

# Convert dataset (csv)

TiAl_Input.to_csv(r"./Dataset2.csv", index=None, header=True)

2.4 Dataset Conversion

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Following the import of the dataset as an excel spreadsheet, a conversion process was done to convert it from the excel workbook format (.xlsx) to a comma seperated values (.csv) format for allow working with the data to be much easier.

In [6]:
# Read and display dataset (csv)

TiAl_Input = pd.read_csv(r"./Dataset2.csv")

TiAl_Input
Out[6]:
Alloy composition (At %) Dec 2019 1228 Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Primary Creep (Elongation/s) Secondary Creep (Elongation/s) Lamaller Volume Interlamellar Spacing (µm) α Width (µm) γ Width (µm) γ Grain Size (µm) α2-α2 Spacing (µm) Colony Size (µm) Density (g/cm³) Diamond Pyramid Hardness (DPH) Vickers Hardness (HV) Synthesis Methods Conditions Microstructure Orientation (°) Yield Strength (MPa) Tensile Strength (MPa) Elongation (%) Log 10 (Elongation) Fracture Toughness (MPa)
0 Ti-47Al 53.000 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 0.400 0.0900 0.425 NaN 0.520 0.30 0.70 NaN NaN 307.0 NaN casting 1 h at 1400°C Furnace cooled lamellar NaN 495.00 675.00 2.30 -1.638272 NaN
1 Ti-47Al-0.014B 52.986 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 600 NaN NaN NaN 0.170 0.7500 0.235 NaN 0.415 0.28 0.72 NaN NaN 297.0 NaN casting 1 h at 1400°C Furnace cooled lamellar NaN 502.00 690.00 5.60 -1.251812 NaN
2 Ti-47Al-0.5W-0.014B 52.486 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.5 NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN 0.190 0.0900 0.430 NaN 0.490 0.28 0.72 NaN NaN 331.0 NaN casting 1 h at 1400°C Furnace cooled lamellar NaN 450.00 587.00 3.50 -1.455932 NaN
3 Ti-47Al-0.014B 52.986 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 0.144 0.0925 0.375 NaN 0.370 0.28 0.72 NaN NaN 305.0 NaN casting 1 h at 1400°C Furnace cooled + aged 168 h/800°C lamellar NaN 550.00 679.00 2.70 -1.568636 NaN
4 Ti-47Al 53.000 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN 1.375 0.6250 1.360 NaN 1.300 0.33 0.67 NaN NaN 324.0 NaN casting 1 h at 1400°C Furnace cooled+ aged 168 h/1000°C lamellar NaN 350.00 596.00 3.10 -1.508638 NaN
5 Ti-47Al-0.014B 52.986 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 0.375 0.1025 0.700 NaN 1.420 0.30 0.70 NaN NaN 309.0 NaN casting 1 h at 1400°C Furnace cooled+ aged 168 h/1000°C lamellar NaN 405.00 568.00 5.70 -1.244125 NaN
6 Ti-47Al-0.5W-0.014B 52.486 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.5 NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 760 NaN NaN NaN 0.190 0.0950 0.295 NaN 0.660 0.29 0.71 NaN NaN 344.0 NaN casting 1 h at 1400°C Furnace cooled+ aged 168 h/1000°C lamellar NaN 604.00 790.00 1.20 -1.920819 NaN
7 Ti-47Al-0.014B 52.986 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 770 NaN NaN NaN 1.900 1.0000 3.000 NaN 3.700 0.32 0.68 NaN NaN 293.0 NaN casting 1 h at 1400°C Furnace cooled+ aged 168 h/1200°C lamellar NaN 450.00 687.00 1.70 -1.769551 NaN
8 Ti-45Al-2Mn-2Nb-0.8TiB2 50.200 45.0 2.0 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.80 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN lamellar NaN 570.00 695.00 1.50 -1.823909 17.0
9 Ti-45Al-2Mn-2Nb-0.8TiB2 50.200 45.0 2.0 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.80 600 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN lamellar NaN 440.00 650.00 5.70 -1.244125 NaN
10 Ti-45Al-2Mn-2Nb-0.8TiB2 50.200 45.0 2.0 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.80 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN lamellar NaN 415.00 510.00 19.00 -0.721246 NaN
11 Ti-47Al-2Mn-2Nb-0.8TiB2 48.200 47.0 2.0 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.80 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN lamellar NaN 402.00 482.00 1.50 -1.823909 15.5
12 Ti-47Al-2Mn-2Nb-0.8TiB2 48.200 47.0 2.0 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.80 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN lamellar NaN 344.00 458.00 7.90 -1.102373 NaN
13 Ti-47Al-2W-0.5Si 50.500 47.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 425.00 520.00 1.00 -2.000000 22.0
14 Ti-47Al-2W-0.5Si 50.500 47.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 350.00 460.00 2.50 -1.602060 NaN
15 Ti-46Al-4Nb-1W 49.000 46.0 NaN 4.0 NaN NaN NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN lamellar NaN 648.00 717.00 1.60 -1.795880 NaN
16 Ti-46Al-4Nb-1W 49.000 46.0 NaN 4.0 NaN NaN NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN lamellar NaN 517.00 692.00 5.40 -1.267606 NaN
17 Ti-46.5Al-2Cr-3Nb-0.2W 48.300 46.5 NaN 3.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 462.00 579.00 2.80 -1.552842 11.0
18 Ti-46.5Al-2Cr-3Nb-0.2W 48.300 46.5 NaN 3.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 345.00 468.00 40.00 -0.397940 NaN
19 Ti-46.5Al-2Cr-3Nb-0.2W 48.300 46.5 NaN 3.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN lamellar NaN 473.00 557.00 1.20 -1.920819 21.0
20 Ti-46.5Al-2Cr-3Nb-0.2W 48.300 46.5 NaN 3.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN lamellar NaN 375.00 509.00 3.20 -1.494850 NaN
21 Ti-46.5Al-2Cr-3Nb-0.2W 48.300 46.5 NaN 3.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN 870 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN lamellar NaN 362.00 485.00 12.00 -0.920819 NaN
22 Ti-48Al-1V-0.2C-0.14O 50.660 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 0.14 NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 480.00 530.00 1.50 -1.823909 NaN
23 Ti-48Al-1V-0.2C-0.14O 50.660 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 0.14 NaN NaN 815 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 360.00 450.00 4.20 -1.376751 NaN
24 Ti-48Al-1V-0.3C-0.2O 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 392.00 406.00 1.40 -1.853872 12.3
25 Ti-48Al-1V-0.3C-0.2O 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 437 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 345.00 476.00 6.40 -1.193820 22.8
26 Ti-48Al-1V-0.3C-0.2O 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 320.00 470.00 10.80 -0.966576 NaN
27 Ti-48Al-1V-0.3C-0.2O 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN Casting NaN duplex NaN 490.00 567.00 11.50 -0.939302 24.3
28 Ti-47Al-1Cr-1V-2.6Nb 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 480.00 548.00 2.30 -1.638272 12.0
29 Ti-47Al-1Cr-1V-2.6Nb 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 600 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 383.00 507.00 3.10 -1.508638 16.0
30 Ti-47Al-1Cr-1V-2.6Nb 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 324.00 492.00 55.00 -0.259637 NaN
31 Ti-47Al-1Cr-1V-2.6Nb 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN lamellar NaN 330.00 383.00 0.80 -2.096910 33.0
32 Ti-47Al-1Cr-1V-2.6Nb 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN lamellar NaN 290.00 378.00 1.50 -1.823909 55.0
33 Ti-45Al-16Mn 39.000 45.0 16.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 465.00 566.00 1.40 -1.853872 NaN
34 Ti-45Al-16Mn 39.000 45.0 16.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 370.00 540.00 14.00 -0.853872 NaN
35 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 331.00 413.00 2.30 -1.638272 25.0
36 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 310.00 430.00 6.40 -1.193820 NaN
37 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN duplex NaN 480.00 679.00 3.10 -1.508638 NaN
38 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN duplex NaN 403.00 563.00 40.00 -0.397940 NaN
39 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 870 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN duplex NaN 330.00 475.00 53.00 -0.275724 NaN
40 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN lamellar NaN 454.00 596.00 0.50 -2.301030 NaN
41 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN lamellar NaN 405.00 508.00 3.00 -1.522879 NaN
42 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 870 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN lamellar NaN 350.00 589.00 19.00 -0.721246 NaN
43 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 510.00 597.00 2.90 -1.537602 NaN
44 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 700 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 421.00 581.00 5.20 -1.283997 NaN
45 Ti-47Al-2Nb-1.75Cr 49.250 47.0 NaN 2.0 1.75 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN lamellar NaN 429.00 516.00 1.40 -1.853872 NaN
46 Ti-47Al-2Nb-1.75Cr 49.250 47.0 NaN 2.0 1.75 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN lamellar NaN 286.00 428.00 13.30 -0.876148 NaN
47 Ti-47Al-2Nb-1.75Cr 49.250 47.0 NaN 2.0 1.75 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 815 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN lamellar NaN 368.00 531.00 23.30 -0.632644 NaN
48 Ti-47Al-2Nb-2Cr-1Ta 48.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 430.00 515.00 1.00 -2.000000 NaN
49 Ti-47Al-2Nb-2Cr-1Ta 48.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 363.00 495.00 23.30 -0.632644 NaN
50 Ti-47Al-2Nb-2Cr-1Ta 48.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 870 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 334.00 403.00 14.60 -0.835647 NaN
51 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 23 NaN NaN 0.39 NaN NaN NaN 64.0 NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 326.00 422.00 1.70 -1.769551 NaN
52 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 284.00 474.00 5.10 -1.292430 NaN
53 Ti-47Al-2Cr-2Nb 49.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 23 NaN NaN 0.65 NaN NaN NaN 60.3 NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 458.00 536.00 1.42 -1.847712 NaN
54 Ti-47Al-2Cr-2Nb 49.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 355.00 539.00 3.40 -1.468521 NaN
55 Ti–47Al–3Cr–3Nb 47.000 47.0 NaN 3.0 3.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 335.0 casting Mould heated at 110 C/2h,\n Curing at 900C duplex NaN 563.00 685.00 9.60 -1.017729 NaN
56 Ti–47Al–3Cr–3Nb 47.000 47.0 NaN 3.0 3.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 700 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 335.0 casting Mould heated at 110 C/2h,\n Curing at 900C duplex NaN 703.00 943.00 5.20 -1.283997 NaN
57 Ti–47Al–3Cr–3Nb 47.000 47.0 NaN 3.0 3.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 335.0 casting Mould heated at 110 C/2h,\n Curing at 900C duplex NaN 486.00 604.00 7.50 -1.124939 NaN
58 Ti–47Al–3Cr–3Nb 47.000 47.0 NaN 3.0 3.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 850 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 335.0 casting Mould heated at 110 C/2h,\n Curing at 900C duplex NaN 342.00 459.00 8.40 -1.075721 NaN
59 Ti–47Al–3Cr–3Nb 47.000 47.0 NaN 3.0 3.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 335.0 casting Mould heated at 110 C/2h,\n Curing at 900C duplex NaN 263.00 432.00 2.10 -1.677781 NaN
60 Ti-46.5Al-2.3W-0.5Si 50.700 46.5 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 23 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 504.00 599.00 0.89 -2.050610 NaN
61 Ti-46.5Al-2.3W-0.5Si 50.700 46.5 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 413.00 571.00 1.97 -1.705534 NaN
62 Ti-46Al-2W-0.5Si-0.65B 50.850 46.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.0 NaN 0.650 NaN NaN NaN NaN NaN NaN NaN 23 NaN NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 58.50 NaN NaN NaN casting NaN duplex NaN 528.00 589.00 0.58 -2.236572 NaN
63 Ti-46Al-2W-0.5Si-0.65B 50.850 46.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.0 NaN 0.650 NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 440.00 532.00 1.07 -1.970616 NaN
64 Ti-46.8Al-1.6Cr-0.7Nb-1.7Ta 49.200 46.8 NaN 0.7 1.60 NaN NaN NaN NaN 1.7 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 23 NaN NaN 0.65 NaN NaN NaN 69.4 NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 422.00 482.00 1.01 -1.995679 NaN
65 Ti-46.8Al-1.6Cr-0.7Nb-1.7Ta 49.200 46.8 NaN 0.7 1.60 NaN NaN NaN NaN 1.7 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 359.00 524.00 3.65 -1.437707 NaN
66 Ti-47Al-2Cr-2Nb-0.2W-0.1B 48.700 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 23 NaN NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 288.00 NaN NaN NaN forging NaN duplex NaN 417.00 547.00 1.12 -1.950782 NaN
67 Ti-47Al-2Cr-2Nb-0.2W-0.1B 48.700 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN lamellar NaN 331.00 587.00 3.93 -1.405607 NaN
68 Ti-45Al-5Nb-0.2C-0.2B 49.600 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.2 0.200 NaN NaN NaN NaN NaN NaN NaN 23 NaN NaN 0.75 NaN NaN NaN 4.0 NaN NaN NaN 20.00 NaN NaN NaN extruding NaN duplex NaN 947.00 1070.00 1.54 -1.812479 NaN
69 Ti-45Al-5Nb-0.2C-0.2B 49.600 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.2 0.200 NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN 4.0 NaN NaN NaN NaN NaN NaN NaN extruding NaN lamellar NaN 775.00 1015.00 1.39 -1.856985 NaN
70 Ti-45Al-5Nb-0.2C-0.2B 49.600 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.2 0.200 NaN NaN NaN NaN NaN NaN NaN 23 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN lamellar NaN 637.00 875.00 0.10 -3.000000 NaN
71 Ti-45Al-5Nb-0.2C-0.2B 49.600 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.2 0.200 NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN lamellar NaN 810.00 964.00 0.89 -2.050610 NaN
72 Ti-47Al-2Cr-2Nb 49.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN lamellar NaN 892.00 1092.00 9.30 -1.031517 NaN
73 Ti-44Al-8Nb 48.000 44.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 28.174603 6.1 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h lamellar NaN 450.00 622.00 10.80 -0.966576 NaN
74 Ti-44Al-8Nb 48.000 44.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 76.719577 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h duplex NaN 624.00 662.00 0.40 -2.397940 NaN
75 Ti-44Al-7Nb-1Ta 48.000 44.0 NaN 7.0 NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 28.455285 6.6 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h lamellar NaN 364.00 554.00 5.20 -1.283997 NaN
76 Ti-44Al-7Nb-1Ta 48.000 44.0 NaN 7.0 NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 46.666667 21.8 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h duplex NaN 686.00 713.00 0.40 -2.397940 NaN
77 Ti-44Al-4Nb-4Zr-0.2Si 47.800 44.0 NaN 4.0 NaN NaN NaN 4.0 NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 25.573192 7.1 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h lamellar NaN 676.00 696.00 0.30 -2.522879 NaN
78 Ti-44Al-4Nb-4Zr-0.2Si 47.800 44.0 NaN 4.0 NaN NaN NaN 4.0 NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 21.455939 8.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h duplex NaN 632.00 706.00 0.70 -2.154902 NaN
79 Ti-44Al-4Zr-4Ta-0.2Si 47.800 44.0 NaN NaN NaN NaN NaN 4.0 NaN 4.0 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 14.161220 4.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h lamellar NaN 686.00 698.00 0.20 -2.698970 NaN
80 Ti-44Al-4Zr-4Ta-0.2Si 47.800 44.0 NaN NaN NaN NaN NaN 4.0 NaN 4.0 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 30.257937 13.7 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h duplex NaN 671.00 750.00 0.80 -2.096910 NaN
81 Ti-44Al-4Nb-4Hf-0.2Si 47.800 44.0 NaN 4.0 NaN NaN NaN NaN 4.0 NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 26.340996 6.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h lamellar NaN 710.00 756.00 0.30 -2.522879 NaN
82 Ti-44Al-4Nb-4Hf-0.2Si 47.800 44.0 NaN 4.0 NaN NaN NaN NaN 4.0 NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 37.216828 13.4 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h duplex NaN 643.00 687.00 0.40 -2.397940 NaN
83 Ti-44Al-8Nb-1B 47.000 44.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 39.082687 15.4 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h lamellar NaN 617.00 690.00 0.80 -2.096910 NaN
84 Ti-44Al-8Nb-1B 47.000 44.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 73.529412 54.4 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h duplex NaN 733.00 817.00 1.70 -1.769551 NaN
85 Ti-44Al-4Nb-4Zr-0.2Si-1B 46.800 44.0 NaN 4.0 NaN NaN NaN 4.0 NaN NaN 0.2 NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 15.625000 5.9 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h lamellar NaN 644.00 705.00 0.50 -2.301030 NaN
86 Ti-44Al-4Nb-4Zr-0.2Si-1B 46.800 44.0 NaN 4.0 NaN NaN NaN 4.0 NaN NaN 0.2 NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 22.486772 12.9 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h duplex NaN 732.00 755.00 0.60 -2.221849 NaN
87 Ti-44Al-4Nb-4Hf-0.2Si-1B 46.800 44.0 NaN 4.0 NaN NaN NaN NaN 4.0 NaN 0.2 NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 30.516432 6.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h lamellar NaN 616.00 669.00 0.40 -2.397940 NaN
88 Ti-44Al-4Nb-4Hf-0.2Si-1B 46.800 44.0 NaN 4.0 NaN NaN NaN NaN 4.0 NaN 0.2 NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 43.209877 15.6 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250 C, 15 Mpa pressure for 4 h duplex NaN 672.00 764.00 1.10 -1.958607 NaN
89 Ti-48Al-1V-0.3C-0.2Ox 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 392.00 406.00 1.40 -1.853872 12.3
90 Ti-48Al-1V-0.3C-0.2Ox 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 320.00 470.00 10.80 -0.966576 NaN
91 Ti-48AI-1V -0.2C-0.14Ox 50.660 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 0.14 NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 490.00 689.00 8.30 -1.080922 24.3
92 Ti-48AI-1V -0.2C-0.14Ox 50.660 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 0.14 NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 480.00 530.00 1.50 -1.823909 NaN
93 Ti-48AI-1V -0.2C-0.14Ox 50.660 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 0.14 NaN NaN 815 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 360.00 450.00 720.00 0.857332 NaN
94 Ti-48AI-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed duplex NaN 331.00 413.00 2.30 -1.638272 25.0
95 Ti-48AI-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 310.00 430.00 9.70 -1.013228 NaN
96 Ti-48AI-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN duplex NaN 467.00 640.00 1.80 -1.744727 NaN
97 Ti-48AI-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN duplex NaN 404.00 630.00 21.50 -0.667562 NaN
98 Ti-48AI-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 870 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN extruding NaN duplex NaN 340.00 560.00 36.00 -0.443697 NaN
99 Ti-48AI-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 510.00 597.00 2.90 -1.537602 NaN
100 Ti-48AI-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 700 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 421.00 551.00 5.20 -1.283997 NaN
101 Ti-47 AI-1 Cr-1 V -2.6Nb 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 405.00 465.50 1.55 -1.809668 13.5
102 Ti-47 AI-1 Cr-1 V -2.6Nb 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 600 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 383.00 507.00 3.10 -1.508638 16.0
103 Ti-47 AI-1 Cr-1 V -2.6Nb 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 307.00 435.00 28.25 -0.548982 55.0
104 Ti-47.3AI-0.7V -1.5Fe-0.7B 49.800 47.3 NaN NaN NaN NaN 0.7 NaN NaN NaN NaN NaN NaN 0.700 1.5 NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 462.00 520.00 0.60 -2.221849 NaN
105 Ti-47.3AI-0.7V -1.5Fe-0.7B 49.800 47.3 NaN NaN NaN NaN 0.7 NaN NaN NaN NaN NaN NaN 0.700 1.5 NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 364.00 424.00 40.00 -0.397940 NaN
106 Ti–43.9Al–4Nb–0.95Mo–0.1B 51.050 43.9 NaN 4.0 NaN 0.95 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintered (1237-1429 C) at100 MPa duplex NaN 799.00 799.00 6.20 -1.207608 NaN
107 Ti–43.9Al–4Nb–0.95Mo–0.1B 51.050 43.9 NaN 4.0 NaN 0.95 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 25 NaN 90.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintered (1237-1429 C) at100 MPa lamellar NaN 773.00 885.00 0.58 -2.236572 NaN
108 Ti–43.9Al–4Nb–0.95Mo–0.1B 51.050 43.9 NaN 4.0 NaN 0.95 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 25 NaN 37.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintered (1237-1429 C) at100 MPa lamellar NaN 763.00 911.00 0.82 -2.086186 NaN
109 Ti–43.9Al–4Nb–0.95Mo–0.1B 51.050 43.9 NaN 4.0 NaN 0.95 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 25 NaN 60.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintered (1237-1429 C) at100 MPa lamellar NaN 806.00 981.00 0.90 -2.045757 NaN
110 Ti–43.9Al–4Nb–0.95Mo–0.1B 51.050 43.9 NaN 4.0 NaN 0.95 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintered (1237-1429 C) at100 MPa lamellar NaN 724.00 775.00 0.30 -2.522879 NaN
111 Ti-43Al-6Nb-1B 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250C, 150Mpa lamellar NaN 578.00 670.00 0.40 -2.397940 NaN
112 Ti-43Al-6Nb-1B 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting HIPed at 1250C, 150Mpa lamellar NaN 479.00 645.00 7.50 -1.124939 NaN
113 Ti-43Al-6Nb-1B 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN lamellar NaN 753.00 975.00 1.50 -1.823909 NaN
114 Ti-43Al-6Nb-1B 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN lamellar NaN 790.00 950.00 25.00 -0.602060 NaN
115 Ti-43Al-6Nb-1B 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 689.00 820.00 2.40 -1.619789 NaN
116 Ti-43Al-6Nb-1B 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 579.00 770.00 40.00 -0.397940 NaN
117 Ti-43Al-6Nb-1B 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN lamellar NaN 624.00 860.00 1.20 -1.920819 NaN
118 Ti-43Al-6Nb-1B 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN forging NaN lamellar NaN 689.00 830.00 31.00 -0.508638 NaN
119 Ti–43Al–2Cr–2Mn–0.2Y 52.800 43.0 2.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.2 NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN lamellar NaN 503.00 705.00 23.00 -0.638272 NaN
120 Ti–43Al–2Cr–2Mn–0.2Y 52.800 43.0 2.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.2 NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN lamellar 72, 52 , 60 595.00 795.00 12.00 -0.920819 NaN
121 Ti-46Al-9Nb 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 607.00 895.00 4.20 -1.376751 NaN
122 Ti-46Al-9Nb 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 693.00 913.00 17.00 -0.769551 NaN
123 Ti-46Al-9Nb 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 532.00 774.00 0.88 -2.055517 NaN
124 Ti-46Al-9Nb 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 689.00 787.00 0.44 -2.356547 NaN
125 Ti-46Al-9Nb 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 745.00 963.00 0.15 -2.823909 NaN
126 Ti-46Al-9Nb 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 674.00 874.00 0.78 -2.107905 NaN
127 Ti-46Al-9Nb 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 631.00 867.00 0.56 -2.251812 NaN
128 Ti–47Al–2.5V–1Cr 49.500 47.0 NaN NaN 1.00 NaN 2.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 0.200 NaN NaN 75.0 NaN NaN NaN NaN NaN NaN 425.0 casting As-deposited lamellar (0001) A/(111)G 468.00 550.00 0.30 -2.522879 NaN
129 Ti–47Al–2.5V–1Cr 49.500 47.0 NaN NaN 1.00 NaN 2.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN NaN NaN 430.0 casting 1100 C/30 min + AC (air cooled) lamellar NaN 421.00 620.00 0.40 -2.397940 NaN
130 Ti–47Al–2.5V–1Cr 49.500 47.0 NaN NaN 1.00 NaN 2.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN NaN NaN 440.0 casting 1100 C/30 min + WQ (water quenched) lamellar NaN 584.00 730.00 0.40 -2.397940 NaN
131 Ti–47Al–2.5V–1Cr 49.500 47.0 NaN NaN 1.00 NaN 2.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 0.300 NaN NaN 100.0 NaN NaN NaN NaN NaN NaN 455.0 casting 1125 C/30 min + WQ duplex NaN 567.00 650.00 0.60 -2.221849 NaN
132 Ti–40Al–2Cr 58.000 40.0 NaN NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 400.0 casting As-deposited lamellar NaN 342.00 560.00 0.20 -2.698970 NaN
133 Ti–40Al–2Cr 58.000 40.0 NaN NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 450.0 casting 1100 C/30 min + AC lamellar NaN 457.00 560.00 0.30 -2.522879 NaN
134 Ti–40Al–2Cr 58.000 40.0 NaN NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN 20.0 NaN NaN NaN NaN NaN NaN 442.0 casting 1100 C/30 min + WQ lamellar NaN 479.00 580.00 0.40 -2.397940 NaN
135 Ti–40Al–2Cr 58.000 40.0 NaN NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 425.0 casting 1125 C/30 min + WQ duplex NaN 424.00 600.00 0.60 -2.221849 NaN
136 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN 40.0 NaN NaN NaN NaN NaN NaN NaN casting As cast- HIPed at 1200 C/4h/175 Mpa/HT 950C-48h lamellar NaN 423.00 650.00 0.45 -2.346787 NaN
137 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 700 NaN NaN NaN NaN NaN NaN 40.0 NaN NaN NaN NaN NaN NaN NaN casting As cast- HIPed at 1200 C/4h/175 Mpa/HT 950C-48h lamellar NaN 465.00 680.00 8.00 -1.096910 NaN
138 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN 40.0 NaN NaN NaN NaN NaN NaN NaN casting As cast- HIPed at 1200 C/4h/175 Mpa/HT 950C-48h lamellar NaN 423.00 660.00 10.00 -1.000000 NaN
139 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN 40.0 NaN NaN NaN NaN NaN NaN NaN casting As cast- HIPed at 1200 C/4h/175 Mpa/HT 950C-48h lamellar NaN 413.00 660.00 12.00 -0.920819 NaN
140 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 850 NaN NaN NaN NaN NaN NaN 40.0 NaN NaN NaN NaN NaN NaN NaN casting As cast- HIPed at 1200 C/4h/175 Mpa/HT 950C-48h lamellar NaN 363.00 520.00 40.00 -0.397940 NaN
141 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 850 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting WQ-1200C-4h lamellar NaN 467.00 526.00 32.00 -0.494850 NaN
142 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting As forged lamellar NaN 754.00 930.00 0.85 -2.070581 NaN
143 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 700 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting As forged lamellar NaN 745.00 890.00 25.00 -0.602060 NaN
144 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting As forged lamellar NaN 721.00 900.00 70.00 -0.154902 NaN
145 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting As forged lamellar NaN 497.00 500.00 102.00 0.008600 NaN
146 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 850 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting As forged lamellar NaN 345.00 480.00 165.00 0.217484 NaN
147 Ti-43Al-4Nb-2Mo-0.5B 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN 2.5 NaN NaN NaN NaN NaN NaN NaN casting Post forging HT,1320 C/0.5 h + 1250 C/4 h/FC duplex NaN 579.00 780.00 132.00 0.120574 NaN
148 Ti55.8-Al44.2 55.800 44.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 18.6 NaN NaN NaN NaN NaN NaN NaN casting As cast lamellar NaN 524.00 736.50 123.00 0.089905 NaN
149 Ti55.8-Al44.2 55.800 44.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 563.0 NaN NaN NaN NaN NaN NaN NaN casting HT lamellar NaN 364.00 546.00 164.00 0.214844 NaN
150 Ti55.7-Al44.1-Ru0.2 55.700 44.1 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 210.0 NaN NaN NaN NaN NaN NaN NaN casting As cast lamellar NaN 579.00 776.00 54.00 -0.267606 NaN
151 Ti55.7-Al44.1-Ru0.2 55.700 44.1 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 696.0 NaN NaN NaN NaN NaN NaN NaN casting HT lamellar NaN 352.00 494.00 47.00 -0.327902 NaN
152 Ti55.4-Al44-Ru0.6 55.400 44.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.6 NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 322.0 NaN NaN NaN NaN NaN NaN NaN casting As cast lamellar NaN 503.00 780.00 63.00 -0.200659 NaN
153 Ti55.4-Al44-Ru0.6 55.400 44.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.6 NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 366.0 NaN NaN NaN NaN NaN NaN NaN casting HT lamellar NaN 463.00 633.00 34.00 -0.468521 NaN
154 Ti55.2-Al43.8-Ru1 55.200 43.8 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 355.0 NaN NaN NaN NaN NaN NaN NaN casting As cast lamellar NaN 683.00 803.00 17.00 -0.769551 NaN
155 Ti55.2-Al43.8-Ru1 55.200 43.8 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 385.0 NaN NaN NaN NaN NaN NaN NaN casting HT lamellar NaN 503.00 705.00 28.00 -0.552842 NaN
156 Ti55-Al43.6-Ru1.4 55.000 43.6 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.4 NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 357.0 NaN NaN NaN NaN NaN NaN NaN casting As cast lamellar NaN 604.00 806.00 43.00 -0.366532 NaN
157 Ti55-Al43.6-Ru1.4 55.000 43.6 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.4 NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 321.0 NaN NaN NaN NaN NaN NaN NaN casting HT lamellar NaN 595.00 754.00 37.00 -0.431798 NaN
158 Ti47-Al45-Nb8 47.000 45.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 268.0 NaN NaN NaN NaN NaN NaN NaN casting As cast lamellar NaN 640.00 896.00 42.00 -0.376751 NaN
159 Ti47-Al45-Nb8 47.000 45.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 556.0 NaN NaN NaN NaN NaN NaN NaN casting HT lamellar NaN 395.00 596.00 23.00 -0.638272 NaN
160 Ti54-Al43-Ru3 54.000 43.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 3.0 NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 283.0 NaN NaN NaN NaN NaN NaN NaN casting As cast lamellar NaN 406.00 629.00 21.00 -0.677781 NaN
161 Ti52-Al43-Ru5 52.000 43.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN 335.0 NaN NaN NaN NaN NaN NaN NaN casting As cast lamellar NaN 395.00 539.00 31.00 -0.508638 NaN
162 Ti-43Al-9V-0.3Y 47.700 43.0 NaN NaN NaN NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.3 NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 80.00 NaN NaN NaN casting HT+ HIPed +FC lamellar NaN 425.00 511.00 0.50 -2.301030 NaN
163 Ti-43Al-9V-0.3Y 47.700 43.0 NaN NaN NaN NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.3 NaN 700 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 80.00 NaN NaN NaN casting HT+ HIPed +FC lamellar NaN 340.00 426.00 5.70 -1.244125 NaN
164 Ti– 46Al–0.5Si–0.5Re 53.000 46.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 NaN NaN NaN NaN NaN 0.5 NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Post Directional solidification in Optical zone furnace lamellar NaN 300.00 500.00 3.00 -1.522879 NaN
165 Ti– 46Al–0.5Si–0.5W 53.000 46.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 0.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Post Directional solidification in Optical zone furnace lamellar NaN 405.00 680.00 20.00 -0.698970 NaN
166 Ti– 46Al–0.5Si–0.5Mo 53.000 46.0 NaN NaN NaN 0.50 NaN NaN NaN NaN 0.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Post Directional solidification in Optical zone furnace lamellar NaN 305.00 580.00 20.00 -0.698970 NaN
167 Ti–44Al–5Nb–3Cr–1.5Zr 46.500 44.0 NaN 5.0 3.00 NaN NaN 1.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN 7.5 NaN NaN NaN NaN NaN NaN NaN casting As cast lamellar NaN 494.00 1414.00 23.00 -0.638272 NaN
168 Ti–44Al–5Nb–3Cr–1.5Zr 46.500 44.0 NaN 5.0 3.00 NaN NaN 1.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN 0.1500 0.600 NaN NaN NaN NaN NaN NaN NaN NaN casting Directional solidification in vertical float zone duplex NaN 547.00 1781.00 25.00 -0.602060 NaN
169 Ti-48Al-8Nb (W,B,Y) 44.000 48.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN 5.3 NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 962.00 1174.00 1.01 -1.995679 NaN
170 Ti-48Al-8Nb (W,B,Y) 44.000 48.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN 5.3 NaN NaN NaN NaN NaN NaN NaN forging NaN duplex NaN 681.00 777.00 37.00 -0.431798 NaN
171 Ti47Al10Nb 43.000 47.0 NaN 10.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN 513.0 NaN 0.718 NaN NaN 33.2 NaN NaN NaN NaN NaN NaN NaN casting 45 kW, 0.3mm/min growth rate lamellar NaN 305.00 545.00 1.35 -1.869666 NaN
172 Ti47Al10Nb 43.000 47.0 NaN 10.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN 430.0 NaN 0.533 NaN NaN 28.7 NaN NaN NaN NaN NaN NaN NaN casting 45 kW, 0.5mm/min growth rate lamellar NaN 323.00 562.00 1.42 -1.847712 NaN
173 Ti47Al10Nb 43.000 47.0 NaN 10.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN 393.0 NaN 0.456 NaN NaN 18.6 NaN NaN NaN NaN NaN NaN NaN casting 45 kW, 0.7mm/min growth rate lamellar NaN 366.00 558.00 1.32 -1.879426 NaN
174 Ti47Al10Nb 43.000 47.0 NaN 10.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN 629.0 NaN 0.387 NaN NaN 8.6 NaN NaN NaN NaN NaN NaN NaN casting 45 kW, 1 mm/min growth rate lamellar NaN 358.00 573.00 1.47 -1.832683 NaN
175 Ti-44Al-5Nb-1Mo-2V-0.2B 47.800 44.0 NaN 5.0 NaN 1.00 2.0 NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting As HIPed lamellar NaN 356.00 414.00 8.10 -1.091515 NaN
176 Ti-44Al-5Nb-1Mo-2V-0.2B 47.800 44.0 NaN 5.0 NaN 1.00 2.0 NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting As rolled (27.5%) lamellar NaN 364.00 552.00 21.00 -0.677781 NaN
177 Ti-44Al-5Nb-1Mo-2V-0.2B 47.800 44.0 NaN 5.0 NaN 1.00 2.0 NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting As rolled (78.8%) lamellar NaN 367.00 522.00 32.00 -0.494850 NaN
178 Ti-43.5Al-4Nb-1Mo-0.1B 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 3.25 NaN NaN NaN casting As fabricated lamellar NaN 462.00 580.00 58.00 -0.236572 NaN
179 Ti-43.5Al-4Nb-1Mo-0.1B 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 12.50 NaN NaN NaN casting Annealing 1240 C 1 h lamellar NaN 620.00 697.00 4.00 -1.397940 NaN
180 Ti-43.5Al-4Nb-1Mo-0.1B 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 12.00 NaN NaN NaN casting Annealing 1400 C 15 m lamellar NaN 715.00 770.00 6.00 -1.221849 NaN
181 Ti-43.5Al-4Nb-1Mo-0.1B 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 24.00 NaN NaN NaN casting Annealing 1400 C 15 m + 1210 C 1 h lamellar NaN 600.00 680.00 3.00 -1.522879 NaN
182 Ti-43.5Al-4Nb-1Mo-0.1B 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 90.00 NaN NaN NaN casting HIPed lamellar NaN 460.00 505.00 20.00 -0.698970 NaN
183 Ti-43.5Al-4Nb-1Mo-0.1B 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 47.50 NaN NaN NaN casting Annealing 1240 C 1 h lamellar NaN 660.00 750.00 1.50 -1.823909 NaN
184 Ti-43.5Al-4Nb-1Mo-0.1B 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 57.50 NaN NaN NaN casting Annealing 1400 C 15 m lamellar NaN 690.00 760.00 2.00 -1.698970 NaN
185 Ti-43.5Al-4Nb-1Mo-0.1B 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 75.00 NaN NaN NaN casting Annealing 1400 C 15 m + 1210 C 1 h lamellar NaN 610.00 750.00 2.00 -1.698970 NaN
186 Ti44Al4Nb1.5Cr0.5Mo0.2B 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN 3.6 NaN NaN NaN NaN NaN NaN NaN casting HIPed, 1280 C 180 MPa lamellar NaN 497.00 536.00 0.39 -2.408935 NaN
187 Ti44Al4Nb1.5Cr0.5Mo0.2B 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN 3.6 NaN NaN NaN NaN NaN NaN NaN casting HIPed, 1280 C 180 MPa lamellar NaN 444.00 552.00 8.22 -1.085128 NaN
188 Ti44Al4Nb1.5Cr0.5Mo0.2B 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN 1.6 NaN NaN NaN NaN NaN NaN NaN casting Isothermal forging, first step duplex NaN 506.00 771.00 0.10 -3.000000 NaN
189 Ti44Al4Nb1.5Cr0.5Mo0.2B 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN 1.6 NaN NaN NaN NaN NaN NaN NaN casting Isothermal forging, first step duplex NaN 470.00 515.00 91.90 -0.036684 NaN
190 Ti44Al4Nb1.5Cr0.5Mo0.2B 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN 1.6 NaN NaN NaN NaN NaN NaN NaN casting Isothermal forging, second step (90 degree) duplex NaN 528.00 735.00 0.10 -3.000000 NaN
191 Ti44Al4Nb1.5Cr0.5Mo0.2B 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN 1.6 NaN NaN NaN NaN NaN NaN NaN casting Isothermal forging, second step (90 degree) duplex NaN 421.00 486.00 75.20 -0.123782 NaN
192 Ti42Al6Nb2.6C0.8Ta 48.600 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 14.20 NaN NaN NaN casting As cast lamellar NaN 943.00 1700.00 67.00 -0.173925 NaN
193 Ti42Al6Nb2.6C0.8Ta 48.600 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 NaN NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 14.20 NaN NaN NaN casting As cast lamellar NaN 356.00 420.00 34.00 -0.468521 NaN
194 Ti42Al6Nb2.6C0.8Ta-0.4B 48.200 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 0.400 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 13.10 NaN NaN NaN casting As cast lamellar NaN 640.00 1780.00 75.00 -0.124939 NaN
195 Ti42Al6Nb2.6C0.8Ta-0.4B 48.200 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 0.400 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 13.10 NaN NaN NaN casting As cast lamellar NaN 305.00 440.00 83.00 -0.080922 NaN
196 Ti42Al6Nb2.6C0.8Ta-0.8B 47.800 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 0.800 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 12.70 NaN NaN NaN casting As cast lamellar NaN 850.00 1870.00 84.00 -0.075721 NaN
197 Ti42Al6Nb2.6C0.8Ta-0.8B 47.800 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 0.800 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 12.70 NaN NaN NaN casting As cast lamellar NaN 395.00 465.00 56.00 -0.251812 NaN
198 Ti42Al6Nb2.6C0.8Ta-1.2B 47.400 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 1.200 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 14.20 NaN NaN NaN casting As cast lamellar NaN 940.00 1900.00 73.00 -0.136677 NaN
199 Ti42Al6Nb2.6C0.8Ta-1.2B 47.400 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 1.200 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 14.20 NaN NaN NaN casting As cast lamellar NaN 356.00 468.00 72.00 -0.142668 NaN
200 Ti42Al6Nb2.6C0.8Ta-1.6B 47.000 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 1.600 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 16.50 NaN NaN NaN casting As cast lamellar NaN 1032.00 2050.00 85.00 -0.070581 NaN
201 Ti42Al6Nb2.6C0.8Ta-1.6B 47.000 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 1.600 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 16.50 NaN NaN NaN casting As cast lamellar NaN 305.00 550.00 95.00 -0.022276 NaN
202 Ti42Al6Nb2.6C0.8Ta-2B 46.600 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 2.000 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 19.60 NaN NaN NaN casting As cast lamellar NaN 1348.00 2030.00 94.00 -0.026872 NaN
203 Ti42Al6Nb2.6C0.8Ta-2B 46.600 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 2.000 NaN NaN NaN NaN NaN NaN NaN 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 19.60 NaN NaN NaN casting As cast lamellar NaN 402.00 600.00 34.00 -0.468521 NaN
204 Ti44.9Al7.5Nb4.9C0.6Mo0.1B 42.000 44.9 NaN 7.5 NaN 0.60 NaN NaN NaN NaN NaN NaN 4.9 0.100 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 310.0 casting HIPed 1250 C 200 Mpa lamellar NaN 615.00 1440.00 64.00 -0.193820 13.5
205 Ti44.9Al7.5Nb4.9C0.6Mo0.1B 42.000 44.9 NaN 7.5 NaN 0.60 NaN NaN NaN NaN NaN NaN 4.9 0.100 NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 310.0 casting HIPed 1250 C 200 Mpa lamellar NaN 204.00 392.00 43.00 -0.366532 13.5
206 Ti22Al25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN 6.2 NaN NaN NaN NaN NaN NaN NaN sintering 1200 C, 10 min, 35 Mpa equaixed NaN 1665.00 2526.00 32.20 -0.492144 NaN
207 Ti45Al5Fe 50.000 45.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 20 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 125.00 NaN NaN NaN casting Compressed at 950C 1 h 230MPa lamellar NaN 780.00 2080.00 28.00 -0.552842 NaN
208 Ti45Al5Fe 50.000 45.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 600 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 125.00 NaN NaN NaN casting Compressed at 950C 1 h 230MPa lamellar NaN 780.00 2014.00 85.00 -0.070581 NaN
209 Ti45Al5Fe 50.000 45.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 125.00 NaN NaN NaN casting Compressed at 950C 1 h 230MPa lamellar NaN 680.00 1294.00 34.00 -0.468521 NaN
210 Ti45Al5Fe 50.000 45.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 125.00 NaN NaN NaN casting Compressed at 950C 1 h 230MPa lamellar NaN 420.00 1024.00 54.00 -0.267606 NaN
211 Ti45Al5Fe 50.000 45.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 1000 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 125.00 NaN NaN NaN casting Compressed at 950C 1 h 230MPa lamellar NaN 200.00 840.00 67.00 -0.173925 NaN
212 Ti45Al5Fe5Nb 45.000 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 20 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 125.00 NaN NaN NaN casting Compressed at 950C 1 h 230MPa lamellar NaN 920.00 2250.00 28.00 -0.552842 NaN
213 Ti45Al5Fe5Nb 45.000 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 600 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 125.00 NaN NaN NaN casting Compressed at 950C 1 h 230MPa lamellar NaN 980.00 1943.00 34.00 -0.468521 NaN
214 Ti45Al5Fe5Nb 45.000 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 125.00 NaN NaN NaN casting Compressed at 950C 1 h 230MPa lamellar NaN 720.00 943.00 36.00 -0.443697 NaN
215 Ti45Al5Fe5Nb 45.000 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 125.00 NaN NaN NaN casting Compressed at 950C 1 h 230MPa lamellar NaN 430.00 693.00 47.00 -0.327902 NaN
216 Ti45Al5Fe5Nb 45.000 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 1000 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 125.00 NaN NaN NaN casting Compressed at 950C 1 h 230MPa lamellar NaN 250.00 492.00 23.00 -0.638272 NaN
217 Ti-45Al-22Nb-5Cr 28.000 45.0 NaN 22.0 5.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Homogenization 1400 C, 1h, Aged 865 C lamellar NaN 1917.00 2150.00 1.50 -1.823909 NaN
218 Ti-45Al-22Nb-5Cr 28.000 45.0 NaN 22.0 5.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Homogenization 1400 C, 1h, Aged 1050 C lamellar NaN 1483.00 2088.00 4.60 -1.337242 NaN
219 Ti-45Al-18Nb-5Cr-1Mo 31.000 45.0 NaN 18.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Homogenization 1400 C, 1h, Aged at 865 C lamellar NaN 2140.00 2643.00 6.70 -1.173925 NaN
220 Ti-45Al-18Nb-5Cr-1Mo 31.000 45.0 NaN 18.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Homogenization 1400 C, 1h, Aged 1000 C lamellar NaN 1643.00 2567.00 15.60 -0.806875 NaN
221 Ti-45Al-18Nb-5Cr-1Mo 31.000 45.0 NaN 18.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Homogenization 1400 C, 1h, Aged 1050 C lamellar NaN 1108.00 2687.00 27.20 -0.565431 NaN
222 Ti-45Al-14Nb-5Cr-1Mo 35.000 45.0 NaN 14.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Homogenization 1400 C, 1h, Aged at 865 C lamellar NaN 1653.00 2514.00 10.50 -0.978811 NaN
223 Ti-45Al-14Nb-5Cr-1Mo 35.000 45.0 NaN 14.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Homogenization 1400 C, 1h, Aged 1000 C lamellar NaN 1342.00 2274.00 12.40 -0.906578 NaN
224 Ti-45Al-14Nb-5Cr-1Mo 35.000 45.0 NaN 14.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Homogenization 1400 C, 1h, Aged 1050 C lamellar NaN 909.00 3106.00 31.80 -0.497573 NaN
225 Ti-45Al-18Nb 37.000 45.0 NaN 18.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Homogenization 1400 C, 1h, Aged 1100 C lamellar NaN 1112.00 2321.00 20.20 -0.694649 NaN
226 Ti-47Al-2Nb-2Cr 49.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 0.550 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Recasting lamellar NaN 395.00 550.00 0.80 -2.096910 NaN
227 Ti-47Al-2Nb-2Cr 49.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN 0.550 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Recasting lamellar NaN 309.00 400.00 3.70 -1.431798 NaN
228 Ti-47Al-2Nb-2Cr-0.2C 48.800 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 0.460 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Recasting lamellar NaN 310.00 560.00 1.05 -1.978811 NaN
229 Ti-47Al-2Nb-2Cr-0.2C 48.800 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN 0.460 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Recasting lamellar NaN 300.00 500.00 5.20 -1.283997 NaN
230 Ti-47Al-2Nb-2Cr-0.5C 48.500 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN 0.5 NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 0.380 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Recasting lamellar NaN 359.00 540.00 1.00 -2.000000 NaN
231 Ti-47Al-2Nb-2Cr-0.5C 48.500 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN 0.5 NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN 0.380 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Recasting lamellar NaN 305.00 470.00 4.65 -1.332547 NaN
232 Ti-42Al-6V-1Cr 51.000 42.0 NaN NaN 1.00 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 0.072 0.0510 0.087 NaN NaN NaN NaN NaN NaN NaN NaN casting Hot extruding lamellar NaN 881.00 1113.00 2.40 -1.619789 NaN
233 Ti-42Al-6V-1Cr 51.000 42.0 NaN NaN 1.00 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 700 NaN NaN NaN 0.072 0.0510 0.087 NaN NaN NaN NaN NaN NaN NaN NaN casting Hot extruding lamellar NaN 745.00 1070.00 13.50 -0.869666 NaN
234 Ti-42Al-6V-1Cr 51.000 42.0 NaN NaN 1.00 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN 0.072 0.0510 0.087 NaN NaN NaN NaN NaN NaN NaN NaN casting Hot extruding lamellar NaN 570.00 860.00 34.00 -0.468521 NaN
235 Ti25Al25Nb 50.000 25.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.29 NaN NaN sintering Milling 5 h lamellar NaN 1100.00 1500.00 5.00 -1.301030 NaN
236 Ti25Al25Nb 50.000 25.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Milling 10 h lamellar NaN 1500.00 1800.00 19.00 -0.721246 NaN
237 Ti25Al25Nb 50.000 25.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Milling 20 h lamellar NaN 1520.00 2250.00 25.00 -0.602060 NaN
238 Ti25Al25Nb 50.000 25.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Milling 40 h lamellar NaN 1560.00 2500.00 31.00 -0.508638 NaN
239 Ti25Al25Nb 50.000 25.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Milling 40 h lamellar NaN 1020.00 1500.00 53.00 -0.275724 NaN
240 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 950 C 2h lamellar NaN 150.00 313.63 0.80 -2.096910 NaN
241 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1050 C 2h lamellar NaN 191.74 392.67 2.77 -1.557520 NaN
242 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1150 C 2h lamellar NaN 371.85 426.88 3.27 -1.485452 NaN
243 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1150 C 2h lamellar NaN 224.61 353.31 6.83 -1.165579 NaN
244 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1200 C 2h lamellar NaN 440.43 527.77 3.42 -1.465974 NaN
245 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1200 C 2h lamellar NaN 341.45 430.78 7.50 -1.124939 NaN
246 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1250 C 2h lamellar NaN 543.55 672.33 5.06 -1.295849 NaN
247 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1250 C 2h lamellar NaN 506.31 625.22 7.19 -1.143271 NaN
248 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1300 C 2h lamellar NaN 607.35 730.09 4.25 -1.371611 NaN
249 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1300 C 2h lamellar NaN 486.25 607.78 7.92 -1.101275 NaN
250 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1250 C 1h lamellar NaN 353.31 464.61 2.68 -1.571865 NaN
251 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1250 C 1h lamellar NaN 385.97 468.56 5.69 -1.244888 NaN
252 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1250 C 1.5h lamellar NaN 524.56 632.83 3.19 -1.496209 NaN
253 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1250 C 1.5h lamellar NaN 508.36 620.53 7.44 -1.128427 NaN
254 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1250 C 2.5h lamellar NaN 586.21 690.42 3.40 -1.468521 NaN
255 Ti– 22Al–25Nb 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Sintereing 1250 C 2.5h lamellar NaN 536.24 645.41 7.03 -1.153045 NaN
256 Ti-45Al-7Nb-0.3W 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN 12.0 NaN NaN NaN NaN NaN NaN NaN sintering As HIPed lamellar NaN 480.00 520.00 0.90 -2.045757 NaN
257 Ti-45Al-7Nb-0.3W 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN 12.0 NaN NaN NaN NaN NaN NaN NaN sintering As HIPed lamellar NaN 475.00 520.00 10.00 -1.000000 NaN
258 Ti-45Al-7Nb-0.3W 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Hot rolled 1240 C duplex NaN 490.00 530.00 1.00 -2.000000 NaN
259 Ti-45Al-7Nb-0.3W 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Hot rolled 1240 C duplex NaN 500.00 600.00 45.00 -0.346787 NaN
260 Ti-45Al-7Nb-0.3W 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Hot rolled 1255 C lamellar NaN 600.00 650.00 1.30 -1.886057 NaN
261 Ti-45Al-7Nb-0.3W 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Hot rolled 1255 C lamellar NaN 500.00 640.00 48.00 -0.318759 NaN
262 Ti-45Al-7Nb-0.3W 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Hot rolled 1270 C equaixed NaN 650.00 710.00 1.80 -1.744727 NaN
263 Ti-45Al-7Nb-0.3W 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Hot rolled 1270 C equaixed NaN 520.00 650.00 44.00 -0.356547 NaN
264 Ti-45Al-7Nb-0.3W 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Hot rolled 1285 C lamellar NaN 480.00 500.00 1.50 -1.823909 NaN
265 Ti-45Al-7Nb-0.3W 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering Hot rolled 1285 C lamellar NaN 500.00 625.00 42.00 -0.376751 NaN
266 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN 0.300 700.0 NaN NaN NaN NaN NaN NaN NaN casting As cast lamellar NaN 312.00 570.00 0.48 -2.318759 NaN
267 Ti-48Al-2Cr-2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN 0.350 800.0 NaN NaN NaN NaN NaN NaN NaN casting Heat treated 1380 C 30 min furnace cool lamellar NaN 360.00 584.00 0.40 -2.397940 NaN
268 Ti-48Al-2Cr-2Nb-3Ni 45.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 3.0 NaN NaN NaN 25 NaN NaN NaN NaN NaN 0.200 50.0 NaN NaN NaN NaN NaN NaN NaN casting As cast lamellar NaN 395.00 453.00 0.30 -2.522879 NaN
269 Ti-48Al-2Cr-2Nb-3Ni 45.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 3.0 NaN NaN NaN 25 NaN NaN NaN NaN NaN 0.190 90.0 NaN NaN NaN NaN NaN NaN NaN casting Heat treated 1380 C 30 min furnace cool lamellar NaN 445.00 640.00 0.65 -2.187087 NaN
270 Ti-49Al 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 5.000 NaN NaN NaN NaN NaN NaN NaN NaN NaN 420.0 casting Cooling rate: 28E-3 lamellar NaN 100.00 150.00 0.76 -2.119186 NaN
271 Ti-49Al 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 3.500 NaN NaN NaN NaN NaN NaN NaN NaN NaN 452.0 casting Cooling rate: 62E-3 lamellar NaN 102.00 200.00 0.68 -2.167491 NaN
272 Ti-49Al 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 2.700 NaN NaN NaN NaN NaN NaN NaN NaN NaN 480.0 casting Cooling rate: 96E-3 lamellar NaN 104.00 240.00 0.88 -2.055517 NaN
273 Ti-49Al 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 2.100 NaN NaN NaN NaN NaN NaN NaN NaN NaN 480.0 casting Cooling rate: 121E-3 lamellar NaN 149.00 300.00 0.92 -2.036212 NaN
274 Ti-49Al 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN 1.500 NaN NaN NaN NaN NaN NaN NaN NaN NaN 525.0 casting Cooling rate: 363E-3 lamellar NaN 190.00 373.00 1.45 -1.838632 NaN
275 Ti–48Al–2Cr–2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting As cast duplex NaN 204.00 506.00 2.64 -1.578396 NaN
276 Ti–48Al–2Cr–2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 850 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Heat treated 1380 C 60 min furnace cool duplex NaN 302.00 520.00 3.64 -1.438899 NaN
277 Ti–48Al–2Cr–2Nb–0.72TiB2 47.280 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.72 750 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Heat treated 1380 C 60 min furnace cool lamellar NaN 460.00 604.00 5.63 -1.249492 NaN
278 Ti–48Al–2Cr–2Nb–1.62TiB2 46.380 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.62 650 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting Heat treated 1380 C 60 min furnace cool lamellar NaN 503.00 780.00 3.42 -1.465974 NaN
279 Ti-49Al 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 705.00 1039.00 8.70 -1.060481 NaN
280 Ti–48Al–2Cr–2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 503.00 805.00 9.40 -1.026872 NaN
281 Ti–48Al–2Cr–2Nb 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 700 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN duplex NaN 704.00 935.00 10.50 -0.978811 NaN
282 Ti–48Al–2Cr–2Nb–0.72TiB2 47.280 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.72 800 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN casting NaN duplex NaN 893.00 1034.00 11.50 -0.939302 NaN
283 Ti–48Al–2Cr–2Nb–1.62TiB2 46.380 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.62 900 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN sintering NaN lamellar NaN 935.00 1235.00 12.50 -0.903090 NaN

2.5 Remove Unnecessary Columns

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The next step is to remove unnecessary columns to preserve only the data columns that will be used for the prediction of the cost, yield strength, tensile strength and elongation. In this coursework, the input prarameters that will be used as the independent (X) variable will be the composition atomic percentages (at%) columns, the synthesis methods column and the microstructure column. One of the dependent variable (y) for prediction will be the cost column which has not been defined in the dataframe yet as well as the yield strength, tensile strength and elongation columns.

The cost data to be used for the training and test sets must be calculated using the elements weight percentages (wt%) and the individual elements cost values. As the elements weight percentages (wt%) and cost values have not been calculated, they must be calculated and added into the dataframe.

The columns that have many missing values and those not essential to the calculation of the cost input for training and testing and predicted cost output for now, have been removed accordingly.

In [7]:
# Drop unnessary columns

TiAl_Input_drop = TiAl_Input.drop(["Alloy composition (At %)  Dec 2019 1228", "Elongation (%)",
                                   "Fracture Toughness (MPa)", "Primary Creep (Elongation/s)", 
                                   "Secondary Creep (Elongation/s)", "Lamaller Volume", "Interlamellar Spacing (µm)",
                                   "α Width (µm)", "γ Width (µm)", "γ Grain Size (µm)", "α2-α2 Spacing (µm)", "Vα", "Vγ",
                                   "Colony Size (µm)", "Density (g/cm³)", "Diamond Pyramid Hardness (DPH)", 
                                   "Vickers Hardness (HV)", "Conditions", 
                                   "Orientation (°)"], 
                                   axis=1)

TiAl_Input_drop
Out[7]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation)
0 53.000 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 495.00 675.00 -1.638272
1 52.986 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 600 casting lamellar 502.00 690.00 -1.251812
2 52.486 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.5 NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 750 casting lamellar 450.00 587.00 -1.455932
3 52.986 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 550.00 679.00 -1.568636
4 53.000 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 750 casting lamellar 350.00 596.00 -1.508638
5 52.986 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 405.00 568.00 -1.244125
6 52.486 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.5 NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 760 casting lamellar 604.00 790.00 -1.920819
7 52.986 47.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.014 NaN NaN NaN NaN NaN NaN NaN 770 casting lamellar 450.00 687.00 -1.769551
8 50.200 45.0 2.0 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.80 25 casting lamellar 570.00 695.00 -1.823909
9 50.200 45.0 2.0 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.80 600 casting lamellar 440.00 650.00 -1.244125
10 50.200 45.0 2.0 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.80 760 casting lamellar 415.00 510.00 -0.721246
11 48.200 47.0 2.0 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.80 25 casting lamellar 402.00 482.00 -1.823909
12 48.200 47.0 2.0 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.80 760 casting lamellar 344.00 458.00 -1.102373
13 50.500 47.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 425.00 520.00 -2.000000
14 50.500 47.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 casting duplex 350.00 460.00 -1.602060
15 49.000 46.0 NaN 4.0 NaN NaN NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 extruding lamellar 648.00 717.00 -1.795880
16 49.000 46.0 NaN 4.0 NaN NaN NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 extruding lamellar 517.00 692.00 -1.267606
17 48.300 46.5 NaN 3.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 forging duplex 462.00 579.00 -1.552842
18 48.300 46.5 NaN 3.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 forging duplex 345.00 468.00 -0.397940
19 48.300 46.5 NaN 3.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 forging lamellar 473.00 557.00 -1.920819
20 48.300 46.5 NaN 3.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 forging lamellar 375.00 509.00 -1.494850
21 48.300 46.5 NaN 3.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN 870 forging lamellar 362.00 485.00 -0.920819
22 50.660 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 0.14 NaN NaN 25 forging duplex 480.00 530.00 -1.823909
23 50.660 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 0.14 NaN NaN 815 forging duplex 360.00 450.00 -1.376751
24 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 25 forging duplex 392.00 406.00 -1.853872
25 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 437 forging duplex 345.00 476.00 -1.193820
26 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 760 forging duplex 320.00 470.00 -0.966576
27 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 25 Casting duplex 490.00 567.00 -0.939302
28 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 forging duplex 480.00 548.00 -1.638272
29 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 600 forging duplex 383.00 507.00 -1.508638
30 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 forging duplex 324.00 492.00 -0.259637
31 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 forging lamellar 330.00 383.00 -2.096910
32 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 forging lamellar 290.00 378.00 -1.823909
33 39.000 45.0 16.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 465.00 566.00 -1.853872
34 39.000 45.0 16.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 sintering lamellar 370.00 540.00 -0.853872
35 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 331.00 413.00 -1.638272
36 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 casting duplex 310.00 430.00 -1.193820
37 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 extruding duplex 480.00 679.00 -1.508638
38 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 extruding duplex 403.00 563.00 -0.397940
39 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 870 extruding duplex 330.00 475.00 -0.275724
40 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 extruding lamellar 454.00 596.00 -2.301030
41 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 extruding lamellar 405.00 508.00 -1.522879
42 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 870 extruding lamellar 350.00 589.00 -0.721246
43 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 510.00 597.00 -1.537602
44 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 700 sintering lamellar 421.00 581.00 -1.283997
45 49.250 47.0 NaN 2.0 1.75 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 429.00 516.00 -1.853872
46 49.250 47.0 NaN 2.0 1.75 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 casting lamellar 286.00 428.00 -0.876148
47 49.250 47.0 NaN 2.0 1.75 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 815 casting lamellar 368.00 531.00 -0.632644
48 48.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 430.00 515.00 -2.000000
49 48.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 casting duplex 363.00 495.00 -0.632644
50 48.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 870 casting duplex 334.00 403.00 -0.835647
51 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 23 casting duplex 326.00 422.00 -1.769551
52 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 casting duplex 284.00 474.00 -1.292430
53 49.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 23 casting duplex 458.00 536.00 -1.847712
54 49.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 casting duplex 355.00 539.00 -1.468521
55 47.000 47.0 NaN 3.0 3.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 563.00 685.00 -1.017729
56 47.000 47.0 NaN 3.0 3.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 700 casting duplex 703.00 943.00 -1.283997
57 47.000 47.0 NaN 3.0 3.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 casting duplex 486.00 604.00 -1.124939
58 47.000 47.0 NaN 3.0 3.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 850 casting duplex 342.00 459.00 -1.075721
59 47.000 47.0 NaN 3.0 3.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 casting duplex 263.00 432.00 -1.677781
60 50.700 46.5 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 23 casting duplex 504.00 599.00 -2.050610
61 50.700 46.5 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 casting duplex 413.00 571.00 -1.705534
62 50.850 46.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.0 NaN 0.650 NaN NaN NaN NaN NaN NaN NaN 23 casting duplex 528.00 589.00 -2.236572
63 50.850 46.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 2.0 NaN 0.650 NaN NaN NaN NaN NaN NaN NaN 650 casting duplex 440.00 532.00 -1.970616
64 49.200 46.8 NaN 0.7 1.60 NaN NaN NaN NaN 1.7 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 23 casting duplex 422.00 482.00 -1.995679
65 49.200 46.8 NaN 0.7 1.60 NaN NaN NaN NaN 1.7 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 casting duplex 359.00 524.00 -1.437707
66 48.700 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 23 forging duplex 417.00 547.00 -1.950782
67 48.700 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN 0.2 NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 650 forging lamellar 331.00 587.00 -1.405607
68 49.600 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.2 0.200 NaN NaN NaN NaN NaN NaN NaN 23 extruding duplex 947.00 1070.00 -1.812479
69 49.600 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.2 0.200 NaN NaN NaN NaN NaN NaN NaN 650 extruding lamellar 775.00 1015.00 -1.856985
70 49.600 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.2 0.200 NaN NaN NaN NaN NaN NaN NaN 23 extruding lamellar 637.00 875.00 -3.000000
71 49.600 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.2 0.200 NaN NaN NaN NaN NaN NaN NaN 650 extruding lamellar 810.00 964.00 -2.050610
72 49.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 extruding lamellar 892.00 1092.00 -1.031517
73 48.000 44.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 450.00 622.00 -0.966576
74 48.000 44.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 624.00 662.00 -2.397940
75 48.000 44.0 NaN 7.0 NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 364.00 554.00 -1.283997
76 48.000 44.0 NaN 7.0 NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 686.00 713.00 -2.397940
77 47.800 44.0 NaN 4.0 NaN NaN NaN 4.0 NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 676.00 696.00 -2.522879
78 47.800 44.0 NaN 4.0 NaN NaN NaN 4.0 NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 632.00 706.00 -2.154902
79 47.800 44.0 NaN NaN NaN NaN NaN 4.0 NaN 4.0 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 686.00 698.00 -2.698970
80 47.800 44.0 NaN NaN NaN NaN NaN 4.0 NaN 4.0 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 671.00 750.00 -2.096910
81 47.800 44.0 NaN 4.0 NaN NaN NaN NaN 4.0 NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 710.00 756.00 -2.522879
82 47.800 44.0 NaN 4.0 NaN NaN NaN NaN 4.0 NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 643.00 687.00 -2.397940
83 47.000 44.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 617.00 690.00 -2.096910
84 47.000 44.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 733.00 817.00 -1.769551
85 46.800 44.0 NaN 4.0 NaN NaN NaN 4.0 NaN NaN 0.2 NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 644.00 705.00 -2.301030
86 46.800 44.0 NaN 4.0 NaN NaN NaN 4.0 NaN NaN 0.2 NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 732.00 755.00 -2.221849
87 46.800 44.0 NaN 4.0 NaN NaN NaN NaN 4.0 NaN 0.2 NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 616.00 669.00 -2.397940
88 46.800 44.0 NaN 4.0 NaN NaN NaN NaN 4.0 NaN 0.2 NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 672.00 764.00 -1.958607
89 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 25 forging duplex 392.00 406.00 -1.853872
90 50.500 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN 0.20 NaN NaN 760 forging duplex 320.00 470.00 -0.966576
91 50.660 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 0.14 NaN NaN 25 casting duplex 490.00 689.00 -1.080922
92 50.660 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 0.14 NaN NaN 25 forging duplex 480.00 530.00 -1.823909
93 50.660 48.0 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 0.14 NaN NaN 815 forging duplex 360.00 450.00 0.857332
94 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 331.00 413.00 -1.638272
95 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 casting duplex 310.00 430.00 -1.013228
96 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 extruding duplex 467.00 640.00 -1.744727
97 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 760 extruding duplex 404.00 630.00 -0.667562
98 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 870 extruding duplex 340.00 560.00 -0.443697
99 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 510.00 597.00 -1.537602
100 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 700 sintering lamellar 421.00 551.00 -1.283997
101 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 forging duplex 405.00 465.50 -1.809668
102 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 600 forging duplex 383.00 507.00 -1.508638
103 48.400 47.0 NaN 2.6 1.00 NaN 1.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 forging duplex 307.00 435.00 -0.548982
104 49.800 47.3 NaN NaN NaN NaN 0.7 NaN NaN NaN NaN NaN NaN 0.700 1.5 NaN NaN NaN NaN NaN NaN 25 casting duplex 462.00 520.00 -2.221849
105 49.800 47.3 NaN NaN NaN NaN 0.7 NaN NaN NaN NaN NaN NaN 0.700 1.5 NaN NaN NaN NaN NaN NaN 800 casting duplex 364.00 424.00 -0.397940
106 51.050 43.9 NaN 4.0 NaN 0.95 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 25 sintering duplex 799.00 799.00 -1.207608
107 51.050 43.9 NaN 4.0 NaN 0.95 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 773.00 885.00 -2.236572
108 51.050 43.9 NaN 4.0 NaN 0.95 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 763.00 911.00 -2.086186
109 51.050 43.9 NaN 4.0 NaN 0.95 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 806.00 981.00 -2.045757
110 51.050 43.9 NaN 4.0 NaN 0.95 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 724.00 775.00 -2.522879
111 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 578.00 670.00 -2.397940
112 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 750 casting lamellar 479.00 645.00 -1.124939
113 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 forging lamellar 753.00 975.00 -1.823909
114 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 750 forging lamellar 790.00 950.00 -0.602060
115 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 forging duplex 689.00 820.00 -1.619789
116 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 750 forging duplex 579.00 770.00 -0.397940
117 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 25 forging lamellar 624.00 860.00 -1.920819
118 50.000 43.0 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.000 NaN NaN NaN NaN NaN NaN NaN 750 forging lamellar 689.00 830.00 -0.508638
119 52.800 43.0 2.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.2 NaN 750 casting lamellar 503.00 705.00 -0.638272
120 52.800 43.0 2.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.2 NaN 750 casting lamellar 595.00 795.00 -0.920819
121 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 607.00 895.00 -1.376751
122 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 693.00 913.00 -0.769551
123 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 532.00 774.00 -2.055517
124 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 689.00 787.00 -2.356547
125 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 745.00 963.00 -2.823909
126 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 674.00 874.00 -2.107905
127 45.000 46.0 NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 631.00 867.00 -2.251812
128 49.500 47.0 NaN NaN 1.00 NaN 2.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 468.00 550.00 -2.522879
129 49.500 47.0 NaN NaN 1.00 NaN 2.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 421.00 620.00 -2.397940
130 49.500 47.0 NaN NaN 1.00 NaN 2.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 584.00 730.00 -2.397940
131 49.500 47.0 NaN NaN 1.00 NaN 2.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 567.00 650.00 -2.221849
132 58.000 40.0 NaN NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 342.00 560.00 -2.698970
133 58.000 40.0 NaN NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 457.00 560.00 -2.522879
134 58.000 40.0 NaN NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 479.00 580.00 -2.397940
135 58.000 40.0 NaN NaN 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 424.00 600.00 -2.221849
136 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 423.00 650.00 -2.346787
137 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 700 casting lamellar 465.00 680.00 -1.096910
138 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 750 casting lamellar 423.00 660.00 -1.000000
139 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 413.00 660.00 -0.920819
140 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 850 casting lamellar 363.00 520.00 -0.397940
141 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 850 casting lamellar 467.00 526.00 -0.494850
142 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 754.00 930.00 -2.070581
143 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 700 casting lamellar 745.00 890.00 -0.602060
144 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 750 casting lamellar 721.00 900.00 -0.154902
145 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 497.00 500.00 0.008600
146 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 850 casting lamellar 345.00 480.00 0.217484
147 50.500 43.0 NaN 4.0 NaN 2.00 NaN NaN NaN NaN NaN NaN NaN 0.500 NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 579.00 780.00 0.120574
148 55.800 44.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 casting lamellar 524.00 736.50 0.089905
149 55.800 44.2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 casting lamellar 364.00 546.00 0.214844
150 55.700 44.1 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 900 casting lamellar 579.00 776.00 -0.267606
151 55.700 44.1 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN 900 casting lamellar 352.00 494.00 -0.327902
152 55.400 44.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.6 NaN NaN NaN NaN NaN 900 casting lamellar 503.00 780.00 -0.200659
153 55.400 44.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.6 NaN NaN NaN NaN NaN 900 casting lamellar 463.00 633.00 -0.468521
154 55.200 43.8 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 900 casting lamellar 683.00 803.00 -0.769551
155 55.200 43.8 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN 900 casting lamellar 503.00 705.00 -0.552842
156 55.000 43.6 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.4 NaN NaN NaN NaN NaN 900 casting lamellar 604.00 806.00 -0.366532
157 55.000 43.6 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.4 NaN NaN NaN NaN NaN 900 casting lamellar 595.00 754.00 -0.431798
158 47.000 45.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 casting lamellar 640.00 896.00 -0.376751
159 47.000 45.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 casting lamellar 395.00 596.00 -0.638272
160 54.000 43.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 3.0 NaN NaN NaN NaN NaN 900 casting lamellar 406.00 629.00 -0.677781
161 52.000 43.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN 900 casting lamellar 395.00 539.00 -0.508638
162 47.700 43.0 NaN NaN NaN NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.3 NaN 25 casting lamellar 425.00 511.00 -2.301030
163 47.700 43.0 NaN NaN NaN NaN 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.3 NaN 700 casting lamellar 340.00 426.00 -1.244125
164 53.000 46.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 NaN NaN NaN NaN NaN 0.5 NaN NaN NaN NaN 25 casting lamellar 300.00 500.00 -1.522879
165 53.000 46.0 NaN NaN NaN NaN NaN NaN NaN NaN 0.5 0.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 405.00 680.00 -0.698970
166 53.000 46.0 NaN NaN NaN 0.50 NaN NaN NaN NaN 0.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 305.00 580.00 -0.698970
167 46.500 44.0 NaN 5.0 3.00 NaN NaN 1.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 494.00 1414.00 -0.638272
168 46.500 44.0 NaN 5.0 3.00 NaN NaN 1.5 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 547.00 1781.00 -0.602060
169 44.000 48.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 forging duplex 962.00 1174.00 -1.995679
170 44.000 48.0 NaN 8.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 forging duplex 681.00 777.00 -0.431798
171 43.000 47.0 NaN 10.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 305.00 545.00 -1.869666
172 43.000 47.0 NaN 10.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 323.00 562.00 -1.847712
173 43.000 47.0 NaN 10.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 366.00 558.00 -1.879426
174 43.000 47.0 NaN 10.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 358.00 573.00 -1.832683
175 47.800 44.0 NaN 5.0 NaN 1.00 2.0 NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 356.00 414.00 -1.091515
176 47.800 44.0 NaN 5.0 NaN 1.00 2.0 NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 364.00 552.00 -0.677781
177 47.800 44.0 NaN 5.0 NaN 1.00 2.0 NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 367.00 522.00 -0.494850
178 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 462.00 580.00 -0.236572
179 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 620.00 697.00 -1.397940
180 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 715.00 770.00 -1.221849
181 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 600.00 680.00 -1.522879
182 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 460.00 505.00 -0.698970
183 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 660.00 750.00 -1.823909
184 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 690.00 760.00 -1.698970
185 51.400 43.5 NaN 4.0 NaN 1.00 NaN NaN NaN NaN NaN NaN NaN 0.100 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 610.00 750.00 -1.698970
186 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 497.00 536.00 -2.408935
187 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 444.00 552.00 -1.085128
188 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 506.00 771.00 -3.000000
189 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 casting duplex 470.00 515.00 -0.036684
190 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 528.00 735.00 -3.000000
191 49.800 44.0 NaN 4.0 1.50 0.50 NaN NaN NaN NaN NaN NaN NaN 0.200 NaN NaN NaN NaN NaN NaN NaN 800 casting duplex 421.00 486.00 -0.123782
192 48.600 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 943.00 1700.00 -0.173925
193 48.600 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 NaN NaN NaN NaN NaN NaN NaN NaN 750 casting lamellar 356.00 420.00 -0.468521
194 48.200 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 0.400 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 640.00 1780.00 -0.124939
195 48.200 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 0.400 NaN NaN NaN NaN NaN NaN NaN 750 casting lamellar 305.00 440.00 -0.080922
196 47.800 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 0.800 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 850.00 1870.00 -0.075721
197 47.800 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 0.800 NaN NaN NaN NaN NaN NaN NaN 750 casting lamellar 395.00 465.00 -0.251812
198 47.400 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 1.200 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 940.00 1900.00 -0.136677
199 47.400 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 1.200 NaN NaN NaN NaN NaN NaN NaN 750 casting lamellar 356.00 468.00 -0.142668
200 47.000 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 1.600 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 1032.00 2050.00 -0.070581
201 47.000 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 1.600 NaN NaN NaN NaN NaN NaN NaN 750 casting lamellar 305.00 550.00 -0.022276
202 46.600 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 2.000 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 1348.00 2030.00 -0.026872
203 46.600 42.0 NaN 6.0 NaN NaN NaN NaN NaN 0.8 NaN NaN 2.6 2.000 NaN NaN NaN NaN NaN NaN NaN 750 casting lamellar 402.00 600.00 -0.468521
204 42.000 44.9 NaN 7.5 NaN 0.60 NaN NaN NaN NaN NaN NaN 4.9 0.100 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 615.00 1440.00 -0.193820
205 42.000 44.9 NaN 7.5 NaN 0.60 NaN NaN NaN NaN NaN NaN 4.9 0.100 NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 204.00 392.00 -0.366532
206 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering equaixed 1665.00 2526.00 -0.492144
207 50.000 45.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 20 casting lamellar 780.00 2080.00 -0.552842
208 50.000 45.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 600 casting lamellar 780.00 2014.00 -0.070581
209 50.000 45.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 800 casting lamellar 680.00 1294.00 -0.468521
210 50.000 45.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 900 casting lamellar 420.00 1024.00 -0.267606
211 50.000 45.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 1000 casting lamellar 200.00 840.00 -0.173925
212 45.000 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 20 casting lamellar 920.00 2250.00 -0.552842
213 45.000 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 600 casting lamellar 980.00 1943.00 -0.468521
214 45.000 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 800 casting lamellar 720.00 943.00 -0.443697
215 45.000 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 900 casting lamellar 430.00 693.00 -0.327902
216 45.000 45.0 NaN 5.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 5.0 NaN NaN NaN NaN NaN NaN 1000 casting lamellar 250.00 492.00 -0.638272
217 28.000 45.0 NaN 22.0 5.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 1917.00 2150.00 -1.823909
218 28.000 45.0 NaN 22.0 5.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 1483.00 2088.00 -1.337242
219 31.000 45.0 NaN 18.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 2140.00 2643.00 -1.173925
220 31.000 45.0 NaN 18.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 1643.00 2567.00 -0.806875
221 31.000 45.0 NaN 18.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 1108.00 2687.00 -0.565431
222 35.000 45.0 NaN 14.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 1653.00 2514.00 -0.978811
223 35.000 45.0 NaN 14.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 1342.00 2274.00 -0.906578
224 35.000 45.0 NaN 14.0 5.00 1.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 909.00 3106.00 -0.497573
225 37.000 45.0 NaN 18.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 1112.00 2321.00 -0.694649
226 49.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 395.00 550.00 -2.096910
227 49.000 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 309.00 400.00 -1.431798
228 48.800 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 310.00 560.00 -1.978811
229 48.800 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN 0.2 NaN NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 300.00 500.00 -1.283997
230 48.500 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN 0.5 NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 359.00 540.00 -2.000000
231 48.500 47.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN 0.5 NaN NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 305.00 470.00 -1.332547
232 51.000 42.0 NaN NaN 1.00 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 881.00 1113.00 -1.619789
233 51.000 42.0 NaN NaN 1.00 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 700 casting lamellar 745.00 1070.00 -0.869666
234 51.000 42.0 NaN NaN 1.00 NaN 6.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 casting lamellar 570.00 860.00 -0.468521
235 50.000 25.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 1100.00 1500.00 -1.301030
236 50.000 25.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 1500.00 1800.00 -0.721246
237 50.000 25.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 1520.00 2250.00 -0.602060
238 50.000 25.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 1560.00 2500.00 -0.508638
239 50.000 25.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 sintering lamellar 1020.00 1500.00 -0.275724
240 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 150.00 313.63 -2.096910
241 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 191.74 392.67 -1.557520
242 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 371.85 426.88 -1.485452
243 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 sintering lamellar 224.61 353.31 -1.165579
244 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 440.43 527.77 -1.465974
245 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 sintering lamellar 341.45 430.78 -1.124939
246 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 543.55 672.33 -1.295849
247 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 sintering lamellar 506.31 625.22 -1.143271
248 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 607.35 730.09 -1.371611
249 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 sintering lamellar 486.25 607.78 -1.101275
250 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 353.31 464.61 -1.571865
251 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 sintering lamellar 385.97 468.56 -1.244888
252 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 524.56 632.83 -1.496209
253 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 sintering lamellar 508.36 620.53 -1.128427
254 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 586.21 690.42 -1.468521
255 53.000 22.0 NaN 25.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 650 sintering lamellar 536.24 645.41 -1.153045
256 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 480.00 520.00 -2.045757
257 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 sintering lamellar 475.00 520.00 -1.000000
258 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering duplex 490.00 530.00 -2.000000
259 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 sintering duplex 500.00 600.00 -0.346787
260 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 600.00 650.00 -1.886057
261 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 sintering lamellar 500.00 640.00 -0.318759
262 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering equaixed 650.00 710.00 -1.744727
263 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 sintering equaixed 520.00 650.00 -0.356547
264 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 sintering lamellar 480.00 500.00 -1.823909
265 47.700 45.0 NaN 7.0 NaN NaN NaN NaN NaN NaN NaN 0.3 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 sintering lamellar 500.00 625.00 -0.376751
266 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 312.00 570.00 -2.318759
267 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 360.00 584.00 -2.397940
268 45.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 3.0 NaN NaN NaN 25 casting lamellar 395.00 453.00 -2.522879
269 45.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 3.0 NaN NaN NaN 25 casting lamellar 445.00 640.00 -2.187087
270 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 100.00 150.00 -2.119186
271 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 102.00 200.00 -2.167491
272 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 104.00 240.00 -2.055517
273 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 149.00 300.00 -2.036212
274 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting lamellar 190.00 373.00 -1.838632
275 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 casting duplex 204.00 506.00 -1.578396
276 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 850 casting duplex 302.00 520.00 -1.438899
277 47.280 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.72 750 casting lamellar 460.00 604.00 -1.249492
278 46.380 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.62 650 casting lamellar 503.00 780.00 -1.465974
279 51.000 49.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 25 casting duplex 705.00 1039.00 -1.060481
280 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 900 sintering lamellar 503.00 805.00 -1.026872
281 48.000 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 700 sintering duplex 704.00 935.00 -0.978811
282 47.280 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.72 800 casting duplex 893.00 1034.00 -0.939302
283 46.380 48.0 NaN 2.0 2.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.62 900 sintering lamellar 935.00 1235.00 -0.903090

2.6 Replace Missing Values

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As the independent (X) variables will be the compositions atomic percentages (at%) columns the synthesis methods column and the microstructure column, they need to be preserved, cleaned and manipulated accordingly. All elements compositions atomic percentages (at%) columns where missing values were present were filled with zeros to create a sparse dataframe with the assumption that if there is any missing value for any specific element for any specific alloy, that element is not present in that specific alloy and that particular information regarding the missing value of that element composition atomic percentage (at%) can be made to be zero.

In [8]:
# Fill missing values of composition columns with zeros to create sparse data along missing areas

TiAl_Input_drop.loc[:, "Ti(at%)": "TiB2(at%)"] = TiAl_Input_drop.loc[:, "Ti(at%)": "TiB2(at%)"].fillna(0)

TiAl_Input_drop
Out[8]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 495.00 675.00 -1.638272
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 casting lamellar 502.00 690.00 -1.251812
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 450.00 587.00 -1.455932
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 550.00 679.00 -1.568636
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 350.00 596.00 -1.508638
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 405.00 568.00 -1.244125
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting lamellar 604.00 790.00 -1.920819
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 casting lamellar 450.00 687.00 -1.769551
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 casting lamellar 570.00 695.00 -1.823909
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 casting lamellar 440.00 650.00 -1.244125
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 casting lamellar 415.00 510.00 -0.721246
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 casting lamellar 402.00 482.00 -1.823909
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 casting lamellar 344.00 458.00 -1.102373
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 425.00 520.00 -2.000000
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting duplex 350.00 460.00 -1.602060
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding lamellar 648.00 717.00 -1.795880
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding lamellar 517.00 692.00 -1.267606
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 462.00 579.00 -1.552842
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 345.00 468.00 -0.397940
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 473.00 557.00 -1.920819
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging lamellar 375.00 509.00 -1.494850
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 forging lamellar 362.00 485.00 -0.920819
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forging duplex 480.00 530.00 -1.823909
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forging duplex 360.00 450.00 -1.376751
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forging duplex 392.00 406.00 -1.853872
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 forging duplex 345.00 476.00 -1.193820
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forging duplex 320.00 470.00 -0.966576
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 Casting duplex 490.00 567.00 -0.939302
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 480.00 548.00 -1.638272
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forging duplex 383.00 507.00 -1.508638
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 324.00 492.00 -0.259637
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 330.00 383.00 -2.096910
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging lamellar 290.00 378.00 -1.823909
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 465.00 566.00 -1.853872
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 370.00 540.00 -0.853872
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 331.00 413.00 -1.638272
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting duplex 310.00 430.00 -1.193820
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding duplex 480.00 679.00 -1.508638
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding duplex 403.00 563.00 -0.397940
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extruding duplex 330.00 475.00 -0.275724
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding lamellar 454.00 596.00 -2.301030
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding lamellar 405.00 508.00 -1.522879
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extruding lamellar 350.00 589.00 -0.721246
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 510.00 597.00 -1.537602
44 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sintering lamellar 421.00 581.00 -1.283997
45 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 429.00 516.00 -1.853872
46 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting lamellar 286.00 428.00 -0.876148
47 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 casting lamellar 368.00 531.00 -0.632644
48 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 430.00 515.00 -2.000000
49 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 363.00 495.00 -0.632644
50 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 casting duplex 334.00 403.00 -0.835647
51 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 326.00 422.00 -1.769551
52 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 284.00 474.00 -1.292430
53 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 458.00 536.00 -1.847712
54 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 355.00 539.00 -1.468521
55 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 563.00 685.00 -1.017729
56 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting duplex 703.00 943.00 -1.283997
57 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 486.00 604.00 -1.124939
58 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting duplex 342.00 459.00 -1.075721
59 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting duplex 263.00 432.00 -1.677781
60 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 504.00 599.00 -2.050610
61 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 413.00 571.00 -1.705534
62 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 528.00 589.00 -2.236572
63 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 440.00 532.00 -1.970616
64 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 422.00 482.00 -1.995679
65 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 359.00 524.00 -1.437707
66 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 forging duplex 417.00 547.00 -1.950782
67 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 forging lamellar 331.00 587.00 -1.405607
68 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extruding duplex 947.00 1070.00 -1.812479
69 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extruding lamellar 775.00 1015.00 -1.856985
70 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extruding lamellar 637.00 875.00 -3.000000
71 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extruding lamellar 810.00 964.00 -2.050610
72 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding lamellar 892.00 1092.00 -1.031517
73 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 450.00 622.00 -0.966576
74 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 624.00 662.00 -2.397940
75 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 364.00 554.00 -1.283997
76 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 686.00 713.00 -2.397940
77 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 676.00 696.00 -2.522879
78 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 632.00 706.00 -2.154902
79 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 686.00 698.00 -2.698970
80 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 671.00 750.00 -2.096910
81 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 710.00 756.00 -2.522879
82 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 643.00 687.00 -2.397940
83 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 617.00 690.00 -2.096910
84 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 733.00 817.00 -1.769551
85 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 644.00 705.00 -2.301030
86 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 732.00 755.00 -2.221849
87 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 616.00 669.00 -2.397940
88 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 672.00 764.00 -1.958607
89 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forging duplex 392.00 406.00 -1.853872
90 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forging duplex 320.00 470.00 -0.966576
91 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 casting duplex 490.00 689.00 -1.080922
92 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forging duplex 480.00 530.00 -1.823909
93 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forging duplex 360.00 450.00 0.857332
94 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 331.00 413.00 -1.638272
95 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting duplex 310.00 430.00 -1.013228
96 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding duplex 467.00 640.00 -1.744727
97 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding duplex 404.00 630.00 -0.667562
98 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extruding duplex 340.00 560.00 -0.443697
99 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 510.00 597.00 -1.537602
100 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sintering lamellar 421.00 551.00 -1.283997
101 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 405.00 465.50 -1.809668
102 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forging duplex 383.00 507.00 -1.508638
103 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 307.00 435.00 -0.548982
104 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 462.00 520.00 -2.221849
105 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 364.00 424.00 -0.397940
106 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering duplex 799.00 799.00 -1.207608
107 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 773.00 885.00 -2.236572
108 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 763.00 911.00 -2.086186
109 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 806.00 981.00 -2.045757
110 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 724.00 775.00 -2.522879
111 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 578.00 670.00 -2.397940
112 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 479.00 645.00 -1.124939
113 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 753.00 975.00 -1.823909
114 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forging lamellar 790.00 950.00 -0.602060
115 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 689.00 820.00 -1.619789
116 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forging duplex 579.00 770.00 -0.397940
117 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 624.00 860.00 -1.920819
118 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forging lamellar 689.00 830.00 -0.508638
119 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 casting lamellar 503.00 705.00 -0.638272
120 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 casting lamellar 595.00 795.00 -0.920819
121 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 607.00 895.00 -1.376751
122 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 693.00 913.00 -0.769551
123 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 532.00 774.00 -2.055517
124 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 689.00 787.00 -2.356547
125 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 745.00 963.00 -2.823909
126 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 674.00 874.00 -2.107905
127 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 631.00 867.00 -2.251812
128 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 468.00 550.00 -2.522879
129 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 421.00 620.00 -2.397940
130 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 584.00 730.00 -2.397940
131 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 567.00 650.00 -2.221849
132 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 342.00 560.00 -2.698970
133 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 457.00 560.00 -2.522879
134 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 479.00 580.00 -2.397940
135 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 424.00 600.00 -2.221849
136 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 423.00 650.00 -2.346787
137 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting lamellar 465.00 680.00 -1.096910
138 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 423.00 660.00 -1.000000
139 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 413.00 660.00 -0.920819
140 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting lamellar 363.00 520.00 -0.397940
141 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting lamellar 467.00 526.00 -0.494850
142 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 754.00 930.00 -2.070581
143 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting lamellar 745.00 890.00 -0.602060
144 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 721.00 900.00 -0.154902
145 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 497.00 500.00 0.008600
146 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting lamellar 345.00 480.00 0.217484
147 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 579.00 780.00 0.120574
148 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 524.00 736.50 0.089905
149 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 364.00 546.00 0.214844
150 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 579.00 776.00 -0.267606
151 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 352.00 494.00 -0.327902
152 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 503.00 780.00 -0.200659
153 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 463.00 633.00 -0.468521
154 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 683.00 803.00 -0.769551
155 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 503.00 705.00 -0.552842
156 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 604.00 806.00 -0.366532
157 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 595.00 754.00 -0.431798
158 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 640.00 896.00 -0.376751
159 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 395.00 596.00 -0.638272
160 54.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 406.00 629.00 -0.677781
161 52.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 395.00 539.00 -0.508638
162 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 casting lamellar 425.00 511.00 -2.301030
163 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 casting lamellar 340.00 426.00 -1.244125
164 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 casting lamellar 300.00 500.00 -1.522879
165 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 405.00 680.00 -0.698970
166 53.000 46.0 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 305.00 580.00 -0.698970
167 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 494.00 1414.00 -0.638272
168 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 547.00 1781.00 -0.602060
169 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 962.00 1174.00 -1.995679
170 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 681.00 777.00 -0.431798
171 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 305.00 545.00 -1.869666
172 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 323.00 562.00 -1.847712
173 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 366.00 558.00 -1.879426
174 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 358.00 573.00 -1.832683
175 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 356.00 414.00 -1.091515
176 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 364.00 552.00 -0.677781
177 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 367.00 522.00 -0.494850
178 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 462.00 580.00 -0.236572
179 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 620.00 697.00 -1.397940
180 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 715.00 770.00 -1.221849
181 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 600.00 680.00 -1.522879
182 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 460.00 505.00 -0.698970
183 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 660.00 750.00 -1.823909
184 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 690.00 760.00 -1.698970
185 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 610.00 750.00 -1.698970
186 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 497.00 536.00 -2.408935
187 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 444.00 552.00 -1.085128
188 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 506.00 771.00 -3.000000
189 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 470.00 515.00 -0.036684
190 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 528.00 735.00 -3.000000
191 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 421.00 486.00 -0.123782
192 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 943.00 1700.00 -0.173925
193 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 356.00 420.00 -0.468521
194 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 640.00 1780.00 -0.124939
195 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 305.00 440.00 -0.080922
196 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 850.00 1870.00 -0.075721
197 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 395.00 465.00 -0.251812
198 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 940.00 1900.00 -0.136677
199 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 356.00 468.00 -0.142668
200 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1032.00 2050.00 -0.070581
201 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 305.00 550.00 -0.022276
202 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1348.00 2030.00 -0.026872
203 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 402.00 600.00 -0.468521
204 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 615.00 1440.00 -0.193820
205 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 204.00 392.00 -0.366532
206 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering equaixed 1665.00 2526.00 -0.492144
207 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 casting lamellar 780.00 2080.00 -0.552842
208 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 casting lamellar 780.00 2014.00 -0.070581
209 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 680.00 1294.00 -0.468521
210 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 420.00 1024.00 -0.267606
211 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 casting lamellar 200.00 840.00 -0.173925
212 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 casting lamellar 920.00 2250.00 -0.552842
213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 casting lamellar 980.00 1943.00 -0.468521
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 720.00 943.00 -0.443697
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 430.00 693.00 -0.327902
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 casting lamellar 250.00 492.00 -0.638272
217 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1917.00 2150.00 -1.823909
218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1483.00 2088.00 -1.337242
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 2140.00 2643.00 -1.173925
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1643.00 2567.00 -0.806875
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1108.00 2687.00 -0.565431
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1653.00 2514.00 -0.978811
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1342.00 2274.00 -0.906578
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 909.00 3106.00 -0.497573
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1112.00 2321.00 -0.694649
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 395.00 550.00 -2.096910
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 309.00 400.00 -1.431798
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 310.00 560.00 -1.978811
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 300.00 500.00 -1.283997
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 359.00 540.00 -2.000000
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 305.00 470.00 -1.332547
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 881.00 1113.00 -1.619789
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting lamellar 745.00 1070.00 -0.869666
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 570.00 860.00 -0.468521
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1100.00 1500.00 -1.301030
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1500.00 1800.00 -0.721246
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1520.00 2250.00 -0.602060
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1560.00 2500.00 -0.508638
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 1020.00 1500.00 -0.275724
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 150.00 313.63 -2.096910
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 191.74 392.67 -1.557520
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 371.85 426.88 -1.485452
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 224.61 353.31 -1.165579
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 440.43 527.77 -1.465974
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 341.45 430.78 -1.124939
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 543.55 672.33 -1.295849
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 506.31 625.22 -1.143271
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 607.35 730.09 -1.371611
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 486.25 607.78 -1.101275
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 353.31 464.61 -1.571865
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 385.97 468.56 -1.244888
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 524.56 632.83 -1.496209
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 508.36 620.53 -1.128427
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 586.21 690.42 -1.468521
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 536.24 645.41 -1.153045
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 480.00 520.00 -2.045757
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 475.00 520.00 -1.000000
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering duplex 490.00 530.00 -2.000000
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering duplex 500.00 600.00 -0.346787
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 600.00 650.00 -1.886057
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 500.00 640.00 -0.318759
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering equaixed 650.00 710.00 -1.744727
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering equaixed 520.00 650.00 -0.356547
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 480.00 500.00 -1.823909
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 500.00 625.00 -0.376751
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 312.00 570.00 -2.318759
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 360.00 584.00 -2.397940
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 casting lamellar 395.00 453.00 -2.522879
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 casting lamellar 445.00 640.00 -2.187087
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 100.00 150.00 -2.119186
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 102.00 200.00 -2.167491
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 104.00 240.00 -2.055517
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 149.00 300.00 -2.036212
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 190.00 373.00 -1.838632
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting duplex 204.00 506.00 -1.578396
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting duplex 302.00 520.00 -1.438899
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 casting lamellar 460.00 604.00 -1.249492
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 casting lamellar 503.00 780.00 -1.465974
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 705.00 1039.00 -1.060481
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 sintering lamellar 503.00 805.00 -1.026872
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sintering duplex 704.00 935.00 -0.978811
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 casting duplex 893.00 1034.00 -0.939302
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 sintering lamellar 935.00 1235.00 -0.903090

2.7 Convert Elements Atomic Percentages (at%) to Weight Percentages (wt%)

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After filling the missing values of the elements compositions atomic percentages (at%) columns with zeros to create a sparse dataframe, the weight percentages (wt%) of each element was calculated using each element's atomic number as it is neccesary to use the elements compositions weight percentages (wt%) to calculate the cost which will be one of the target variables (y) that will be split into testing and training datasets with the independent (X) variables.

The weight percentages (wt%) of each element was calculated by multiplying the individual respective atomic number of each element by the respective dataframe containing all their atomic percentages (at%), divided by the sum of all multiplied individual respective atomic numbers of all elements with their respective dataframes containing all their atomic percentages (at%).

In [9]:
# Coversion of elements compositions atomic percentages (at%) to weight percentages (%) using each element's atomic number

Ti_Element_Weight_Percentages = TiAl_Input_drop["Ti(at%)"]*47.87/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Al_Element_Weight_Percentages = TiAl_Input_drop["Al(at%)"]*26.98/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996+ TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Mn_Element_Weight_Percentages = TiAl_Input_drop["Mn(at%)"]*54.94/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Nb_Element_Weight_Percentages = TiAl_Input_drop["Nb(at%)"]*51.996/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Cr_Element_Weight_Percentages = TiAl_Input_drop["Cr(at%)"]*52/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Mo_Element_Weight_Percentages = TiAl_Input_drop["Mo(at%)"]*95.95/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


V_Element_Weight_Percentages = TiAl_Input_drop["V(at%)"]*54.94/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Zr_Element_Weight_Percentages = TiAl_Input_drop["Zr(at%)"]*91.22/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Hf_Element_Weight_Percentages = TiAl_Input_drop["Hf(at%)"]*178.49/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Ta_Element_Weight_Percentages = TiAl_Input_drop["Ta(at%)"]*180.95/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Si_Element_Weight_Percentages = TiAl_Input_drop["Si(at%)"]*20.09/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


W_Element_Weight_Percentages = TiAl_Input_drop["W(at%)"]*183.84/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


C_Element_Weight_Percentages = TiAl_Input_drop["C(at%)"]*12.01/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


B_Element_Weight_Percentages = TiAl_Input_drop["B(at%)"]*10.81/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Fe_Element_Weight_Percentages = TiAl_Input_drop["Fe(at%)"]*55.85/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Ru_Element_Weight_Percentages = TiAl_Input_drop["Ru(at%)"]*101.07/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Re_Element_Weight_Percentages = TiAl_Input_drop["Re(at%)"]*186.21/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Ni_Element_Weight_Percentages = TiAl_Input_drop["Ni(at%)"]*58.69/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


O_Element_Weight_Percentages = TiAl_Input_drop["O(at%)"]*16/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


Y_Element_Weight_Percentages = TiAl_Input_drop["Y(at%)"]*88.91/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)


TiB2_Element_Weight_Percentages = TiAl_Input_drop["TiB2(at%)"]*69.49/(TiAl_Input_drop["Ti(at%)"]*47.87 
                              + TiAl_Input_drop["Al(at%)"]*26.98 + TiAl_Input_drop["Mn(at%)"]*54.94 
                              + TiAl_Input_drop["Nb(at%)"]*51.996 + TiAl_Input_drop["Cr(at%)"]*52 
                              + TiAl_Input_drop["Mo(at%)"]*95.95 + TiAl_Input_drop["V(at%)"]*54.94 
                              + TiAl_Input_drop["Zr(at%)"]*91.22 + TiAl_Input_drop["Hf(at%)"]*178.49 
                              + TiAl_Input_drop["Ta(at%)"]*180.95 + TiAl_Input_drop["Si(at%)"]*20.09 
                              + TiAl_Input_drop["W(at%)"]*183.84 + TiAl_Input_drop["C(at%)"]*12.01 
                              + TiAl_Input_drop["B(at%)"]*10.81 + TiAl_Input_drop["Fe(at%)"]*55.85 
                              + TiAl_Input_drop["Ru(at%)"]*101.07 + TiAl_Input_drop["Re(at%)"]*186.21 
                              + TiAl_Input_drop["Ni(at%)"]*58.69 + TiAl_Input_drop["O(at%)"]*16 
                              + TiAl_Input_drop["Y(at%)"]*88.91 + TiAl_Input_drop["TiB2(at%)"]*69.49)

2.8 Additional Columns for Elements Weight Percentages (wt%) Into Dataframe

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After calculating the weight percentages (wt%) of each element across each column for and for each row and for each alloy, their respective values were added into newly defined respective dataframes after the TiB2(at%) dataframe.

In [10]:
# Insert weight percentages of every element along each newly defined column after column TiB2(at%) for every alloy in every row

TiAl_Input_drop.insert(27,"Ti(wt%)", Ti_Element_Weight_Percentages)
TiAl_Input_drop.insert(28,"Al(wt%)", Al_Element_Weight_Percentages)
TiAl_Input_drop.insert(29,"Mn(wt%)", Mn_Element_Weight_Percentages)
TiAl_Input_drop.insert(30,"Nb(wt%)", Nb_Element_Weight_Percentages)
TiAl_Input_drop.insert(31,"Cr(wt%)", Cr_Element_Weight_Percentages)
TiAl_Input_drop.insert(32,"Mo(wt%)", Mo_Element_Weight_Percentages)
TiAl_Input_drop.insert(33,"V(wt%)", V_Element_Weight_Percentages)
TiAl_Input_drop.insert(34,"Zr(wt%)", Zr_Element_Weight_Percentages)
TiAl_Input_drop.insert(35,"Hf(wt%)", Hf_Element_Weight_Percentages)
TiAl_Input_drop.insert(36,"Ta(wt%)", Ta_Element_Weight_Percentages)
TiAl_Input_drop.insert(37,"Si(wt%)", Si_Element_Weight_Percentages)
TiAl_Input_drop.insert(38,"W(wt%)", W_Element_Weight_Percentages)
TiAl_Input_drop.insert(39,"C(wt%)", C_Element_Weight_Percentages)
TiAl_Input_drop.insert(40,"B(wt%)", B_Element_Weight_Percentages)
TiAl_Input_drop.insert(41,"Fe(wt%)", Fe_Element_Weight_Percentages)
TiAl_Input_drop.insert(42,"Ru(wt%)", Ru_Element_Weight_Percentages)
TiAl_Input_drop.insert(43,"Re(wt%)", Re_Element_Weight_Percentages)
TiAl_Input_drop.insert(44,"Ni(wt%)", Ni_Element_Weight_Percentages)
TiAl_Input_drop.insert(45,"O(wt%)", O_Element_Weight_Percentages)
TiAl_Input_drop.insert(46,"Y(wt%)", Y_Element_Weight_Percentages)
TiAl_Input_drop.insert(47,"TiB2(wt%)", TiB2_Element_Weight_Percentages)


TiAl_Input_drop
Out[10]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Ti(wt%) Al(wt%) Mn(wt%) Nb(wt%) Cr(wt%) Mo(wt%) V(wt%) Zr(wt%) Hf(wt%) Ta(wt%) Si(wt%) W(wt%) C(wt%) B(wt%) Fe(wt%) Ru(wt%) Re(wt%) Ni(wt%) O(wt%) Y(wt%) TiB2(wt%)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 495.00 675.00 -1.638272 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 casting lamellar 502.00 690.00 -1.251812 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 450.00 587.00 -1.455932 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 550.00 679.00 -1.568636 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 350.00 596.00 -1.508638 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 405.00 568.00 -1.244125 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting lamellar 604.00 790.00 -1.920819 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 casting lamellar 450.00 687.00 -1.769551 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 casting lamellar 570.00 695.00 -1.823909 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 casting lamellar 440.00 650.00 -1.244125 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 casting lamellar 415.00 510.00 -0.721246 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 casting lamellar 402.00 482.00 -1.823909 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 casting lamellar 344.00 458.00 -1.102373 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 425.00 520.00 -2.000000 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting duplex 350.00 460.00 -1.602060 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding lamellar 648.00 717.00 -1.795880 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding lamellar 517.00 692.00 -1.267606 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 462.00 579.00 -1.552842 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 345.00 468.00 -0.397940 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 473.00 557.00 -1.920819 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging lamellar 375.00 509.00 -1.494850 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 forging lamellar 362.00 485.00 -0.920819 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forging duplex 480.00 530.00 -1.823909 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forging duplex 360.00 450.00 -1.376751 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forging duplex 392.00 406.00 -1.853872 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 forging duplex 345.00 476.00 -1.193820 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forging duplex 320.00 470.00 -0.966576 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 Casting duplex 490.00 567.00 -0.939302 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 480.00 548.00 -1.638272 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forging duplex 383.00 507.00 -1.508638 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 324.00 492.00 -0.259637 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 330.00 383.00 -2.096910 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging lamellar 290.00 378.00 -1.823909 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 465.00 566.00 -1.853872 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 370.00 540.00 -0.853872 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 331.00 413.00 -1.638272 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting duplex 310.00 430.00 -1.193820 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding duplex 480.00 679.00 -1.508638 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding duplex 403.00 563.00 -0.397940 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extruding duplex 330.00 475.00 -0.275724 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding lamellar 454.00 596.00 -2.301030 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding lamellar 405.00 508.00 -1.522879 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extruding lamellar 350.00 589.00 -0.721246 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 510.00 597.00 -1.537602 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
44 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sintering lamellar 421.00 581.00 -1.283997 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
45 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 429.00 516.00 -1.853872 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
46 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting lamellar 286.00 428.00 -0.876148 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
47 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 casting lamellar 368.00 531.00 -0.632644 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
48 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 430.00 515.00 -2.000000 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
49 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 363.00 495.00 -0.632644 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
50 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 casting duplex 334.00 403.00 -0.835647 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
51 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 326.00 422.00 -1.769551 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
52 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 284.00 474.00 -1.292430 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
53 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 458.00 536.00 -1.847712 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
54 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 355.00 539.00 -1.468521 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
55 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 563.00 685.00 -1.017729 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
56 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting duplex 703.00 943.00 -1.283997 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
57 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 486.00 604.00 -1.124939 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
58 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting duplex 342.00 459.00 -1.075721 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
59 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting duplex 263.00 432.00 -1.677781 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
60 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 504.00 599.00 -2.050610 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
61 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 413.00 571.00 -1.705534 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
62 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 528.00 589.00 -2.236572 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
63 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 440.00 532.00 -1.970616 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
64 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 422.00 482.00 -1.995679 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
65 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 359.00 524.00 -1.437707 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
66 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 forging duplex 417.00 547.00 -1.950782 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
67 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 forging lamellar 331.00 587.00 -1.405607 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
68 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extruding duplex 947.00 1070.00 -1.812479 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
69 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extruding lamellar 775.00 1015.00 -1.856985 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
70 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extruding lamellar 637.00 875.00 -3.000000 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
71 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extruding lamellar 810.00 964.00 -2.050610 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
72 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding lamellar 892.00 1092.00 -1.031517 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
73 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 450.00 622.00 -0.966576 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
74 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 624.00 662.00 -2.397940 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
75 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 364.00 554.00 -1.283997 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
76 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 686.00 713.00 -2.397940 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
77 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 676.00 696.00 -2.522879 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
78 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 632.00 706.00 -2.154902 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
79 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 686.00 698.00 -2.698970 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
80 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 671.00 750.00 -2.096910 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
81 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 710.00 756.00 -2.522879 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
82 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 643.00 687.00 -2.397940 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
83 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 617.00 690.00 -2.096910 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
84 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 733.00 817.00 -1.769551 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
85 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 644.00 705.00 -2.301030 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
86 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 732.00 755.00 -2.221849 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
87 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 616.00 669.00 -2.397940 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
88 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 672.00 764.00 -1.958607 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
89 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forging duplex 392.00 406.00 -1.853872 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
90 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forging duplex 320.00 470.00 -0.966576 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
91 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 casting duplex 490.00 689.00 -1.080922 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
92 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forging duplex 480.00 530.00 -1.823909 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
93 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forging duplex 360.00 450.00 0.857332 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
94 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 331.00 413.00 -1.638272 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
95 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting duplex 310.00 430.00 -1.013228 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
96 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding duplex 467.00 640.00 -1.744727 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
97 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding duplex 404.00 630.00 -0.667562 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
98 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extruding duplex 340.00 560.00 -0.443697 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
99 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 510.00 597.00 -1.537602 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
100 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sintering lamellar 421.00 551.00 -1.283997 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
101 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 405.00 465.50 -1.809668 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
102 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forging duplex 383.00 507.00 -1.508638 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
103 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 307.00 435.00 -0.548982 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
104 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 462.00 520.00 -2.221849 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
105 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 364.00 424.00 -0.397940 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
106 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering duplex 799.00 799.00 -1.207608 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
107 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 773.00 885.00 -2.236572 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
108 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 763.00 911.00 -2.086186 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
109 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 806.00 981.00 -2.045757 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
110 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 724.00 775.00 -2.522879 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
111 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 578.00 670.00 -2.397940 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
112 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 479.00 645.00 -1.124939 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
113 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 753.00 975.00 -1.823909 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
114 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forging lamellar 790.00 950.00 -0.602060 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
115 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 689.00 820.00 -1.619789 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
116 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forging duplex 579.00 770.00 -0.397940 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
117 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 624.00 860.00 -1.920819 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
118 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forging lamellar 689.00 830.00 -0.508638 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
119 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 casting lamellar 503.00 705.00 -0.638272 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
120 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 casting lamellar 595.00 795.00 -0.920819 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
121 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 607.00 895.00 -1.376751 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
122 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 693.00 913.00 -0.769551 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
123 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 532.00 774.00 -2.055517 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
124 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 689.00 787.00 -2.356547 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
125 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 745.00 963.00 -2.823909 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
126 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 674.00 874.00 -2.107905 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
127 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 631.00 867.00 -2.251812 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
128 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 468.00 550.00 -2.522879 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
129 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 421.00 620.00 -2.397940 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
130 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 584.00 730.00 -2.397940 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
131 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 567.00 650.00 -2.221849 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
132 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 342.00 560.00 -2.698970 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
133 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 457.00 560.00 -2.522879 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
134 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 479.00 580.00 -2.397940 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
135 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 424.00 600.00 -2.221849 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
136 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 423.00 650.00 -2.346787 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
137 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting lamellar 465.00 680.00 -1.096910 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
138 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 423.00 660.00 -1.000000 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
139 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 413.00 660.00 -0.920819 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
140 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting lamellar 363.00 520.00 -0.397940 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
141 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting lamellar 467.00 526.00 -0.494850 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
142 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 754.00 930.00 -2.070581 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
143 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting lamellar 745.00 890.00 -0.602060 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
144 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 721.00 900.00 -0.154902 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
145 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 497.00 500.00 0.008600 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
146 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting lamellar 345.00 480.00 0.217484 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
147 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 579.00 780.00 0.120574 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
148 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 524.00 736.50 0.089905 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
149 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 364.00 546.00 0.214844 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
150 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 579.00 776.00 -0.267606 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
151 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 352.00 494.00 -0.327902 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
152 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 503.00 780.00 -0.200659 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
153 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 463.00 633.00 -0.468521 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
154 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 683.00 803.00 -0.769551 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
155 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 503.00 705.00 -0.552842 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
156 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 604.00 806.00 -0.366532 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
157 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 595.00 754.00 -0.431798 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
158 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 640.00 896.00 -0.376751 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
159 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 395.00 596.00 -0.638272 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
160 54.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 406.00 629.00 -0.677781 0.638530 0.286572 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.074898 0.000000 0.000000 0.000000 0.000000 0.000000
161 52.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 395.00 539.00 -0.508638 0.599134 0.279234 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.121632 0.000000 0.000000 0.000000 0.000000 0.000000
162 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 casting lamellar 425.00 511.00 -2.301030 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
163 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 casting lamellar 340.00 426.00 -1.244125 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
164 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 casting lamellar 300.00 500.00 -1.522879 0.653669 0.319756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002588 0.000000 0.000000 0.000000 0.000000 0.000000 0.023988 0.000000 0.000000 0.000000 0.000000
165 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 405.00 680.00 -0.698970 0.653868 0.319853 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002589 0.023690 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
166 53.000 46.0 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 305.00 580.00 -0.698970 0.661358 0.323517 0.000000 0.000000 0.000000 0.012506 0.000000 0.000000 0.000000 0.000000 0.002618 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
167 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 494.00 1414.00 -0.638272 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
168 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 547.00 1781.00 -0.602060 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
169 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 962.00 1174.00 -1.995679 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
170 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 681.00 777.00 -0.431798 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
171 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 305.00 545.00 -1.869666 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
172 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 323.00 562.00 -1.847712 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
173 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 366.00 558.00 -1.879426 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
174 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 358.00 573.00 -1.832683 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
175 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 356.00 414.00 -1.091515 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
176 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 364.00 552.00 -0.677781 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
177 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 367.00 522.00 -0.494850 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
178 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 462.00 580.00 -0.236572 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
179 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 620.00 697.00 -1.397940 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
180 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 715.00 770.00 -1.221849 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
181 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 600.00 680.00 -1.522879 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
182 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 460.00 505.00 -0.698970 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
183 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 660.00 750.00 -1.823909 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
184 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 690.00 760.00 -1.698970 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
185 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 610.00 750.00 -1.698970 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
186 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 497.00 536.00 -2.408935 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
187 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 444.00 552.00 -1.085128 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
188 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 506.00 771.00 -3.000000 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
189 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 470.00 515.00 -0.036684 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
190 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 528.00 735.00 -3.000000 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
191 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 421.00 486.00 -0.123782 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
192 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 943.00 1700.00 -0.173925 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
193 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 356.00 420.00 -0.468521 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
194 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 640.00 1780.00 -0.124939 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
195 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 305.00 440.00 -0.080922 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
196 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 850.00 1870.00 -0.075721 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
197 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 395.00 465.00 -0.251812 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
198 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 940.00 1900.00 -0.136677 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
199 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 356.00 468.00 -0.142668 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
200 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1032.00 2050.00 -0.070581 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
201 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 305.00 550.00 -0.022276 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
202 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1348.00 2030.00 -0.026872 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
203 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 402.00 600.00 -0.468521 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
204 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 615.00 1440.00 -0.193820 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
205 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 204.00 392.00 -0.366532 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
206 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering equaixed 1665.00 2526.00 -0.492144 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
207 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 casting lamellar 780.00 2080.00 -0.552842 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
208 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 casting lamellar 780.00 2014.00 -0.070581 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
209 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 680.00 1294.00 -0.468521 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
210 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 420.00 1024.00 -0.267606 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
211 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 casting lamellar 200.00 840.00 -0.173925 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
212 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 casting lamellar 920.00 2250.00 -0.552842 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 casting lamellar 980.00 1943.00 -0.468521 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 720.00 943.00 -0.443697 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 430.00 693.00 -0.327902 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 casting lamellar 250.00 492.00 -0.638272 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
217 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1917.00 2150.00 -1.823909 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1483.00 2088.00 -1.337242 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 2140.00 2643.00 -1.173925 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1643.00 2567.00 -0.806875 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1108.00 2687.00 -0.565431 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1653.00 2514.00 -0.978811 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1342.00 2274.00 -0.906578 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 909.00 3106.00 -0.497573 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1112.00 2321.00 -0.694649 0.451694 0.309623 0.000000 0.238683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 395.00 550.00 -2.096910 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 309.00 400.00 -1.431798 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 310.00 560.00 -1.978811 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 300.00 500.00 -1.283997 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 359.00 540.00 -2.000000 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 305.00 470.00 -1.332547 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 881.00 1113.00 -1.619789 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting lamellar 745.00 1070.00 -0.869666 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 570.00 860.00 -0.468521 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1100.00 1500.00 -1.301030 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1500.00 1800.00 -0.721246 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1520.00 2250.00 -0.602060 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1560.00 2500.00 -0.508638 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 1020.00 1500.00 -0.275724 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 150.00 313.63 -2.096910 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 191.74 392.67 -1.557520 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 371.85 426.88 -1.485452 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 224.61 353.31 -1.165579 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 440.43 527.77 -1.465974 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 341.45 430.78 -1.124939 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 543.55 672.33 -1.295849 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 506.31 625.22 -1.143271 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 607.35 730.09 -1.371611 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 486.25 607.78 -1.101275 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 353.31 464.61 -1.571865 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 385.97 468.56 -1.244888 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 524.56 632.83 -1.496209 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 508.36 620.53 -1.128427 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 586.21 690.42 -1.468521 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 536.24 645.41 -1.153045 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 480.00 520.00 -2.045757 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 475.00 520.00 -1.000000 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering duplex 490.00 530.00 -2.000000 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering duplex 500.00 600.00 -0.346787 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 600.00 650.00 -1.886057 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 500.00 640.00 -0.318759 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering equaixed 650.00 710.00 -1.744727 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering equaixed 520.00 650.00 -0.356547 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 480.00 500.00 -1.823909 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 500.00 625.00 -0.376751 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 312.00 570.00 -2.318759 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 360.00 584.00 -2.397940 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 casting lamellar 395.00 453.00 -2.522879 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 casting lamellar 445.00 640.00 -2.187087 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 100.00 150.00 -2.119186 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 102.00 200.00 -2.167491 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 104.00 240.00 -2.055517 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 149.00 300.00 -2.036212 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 190.00 373.00 -1.838632 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting duplex 204.00 506.00 -1.578396 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting duplex 302.00 520.00 -1.438899 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 casting lamellar 460.00 604.00 -1.249492 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 casting lamellar 503.00 780.00 -1.465974 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 705.00 1039.00 -1.060481 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 sintering lamellar 503.00 805.00 -1.026872 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sintering duplex 704.00 935.00 -0.978811 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 casting duplex 893.00 1034.00 -0.939302 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 sintering lamellar 935.00 1235.00 -0.903090 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348

2.9 Cost Calculation (USD/kg)

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Once the weight percentages of each element was calculated, it was essential to calculate the cost which will serve as one of the target variables (y) that will be split into testing and training datasets by using the elements compositions weight percentages (wt%) and the individual elemental cost values which are in (USD/kg).

The cost of each element was calculated by multiplying the individual respective cost value (USD/kg) of each element by the corresponding dataframe containing all their weight percentages (wt%) across all rows for every alloy.

In [11]:
# Input cost calculation for each alloy in each row using the elements weight percentages (wt%) and elements costs ($)

Calculated_Cost = (TiAl_Input_drop["Ti(wt%)"]*11.70 + TiAl_Input_drop["Al(wt%)"]*1.79 + TiAl_Input_drop["Mn(wt%)"]*1.82
                + TiAl_Input_drop["Nb(wt%)"]*85.60 + TiAl_Input_drop["Cr(wt%)"]*9.40 + TiAl_Input_drop["Mo(wt%)"]*40.10 
                + TiAl_Input_drop["V(wt%)"]*385 + TiAl_Input_drop["Zr(wt%)"]*37.10 + TiAl_Input_drop["Hf(wt%)"]*900 
                + TiAl_Input_drop["Ta(wt%)"]*312 + TiAl_Input_drop["Si(wt%)"]*1.70 + TiAl_Input_drop["W(wt%)"]*35.30 
                + TiAl_Input_drop["C(wt%)"]*0.122 + TiAl_Input_drop["B(wt%)"]*3.68 + TiAl_Input_drop["Fe(wt%)"]*0.424 
                + TiAl_Input_drop["Ru(wt%)"]*10600 + TiAl_Input_drop["Re(wt%)"]*4150 + TiAl_Input_drop["Ni(wt%)"]*13.90 
                + TiAl_Input_drop["O(wt%)"]*0.154 + TiAl_Input_drop["Y(wt%)"]*31 + TiAl_Input_drop["TiB2(wt%)"]*800)

2.10 Additional Columns for Cost Calculation (USD/kg) Into Dataframe

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Once the cost of each element was calculated, the respective values across all rows for every alloy were added into a newly defined Cost(USD/kg) column after the Elongation (Log 10) column and this Cost(USD/kg) column will contain the full cost dataset values which will be one of the target variables (y) and be split into the training and test datasets.

In [12]:
# Insert cost of every alloy along a newly defined column after the Elongation (Log 10) column for every alloy in every row

TiAl_Input_drop.insert(27,"Cost (USD/kg)", Calculated_Cost)

TiAl_Input_drop
Out[12]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg) Ti(wt%) Al(wt%) Mn(wt%) Nb(wt%) Cr(wt%) Mo(wt%) V(wt%) Zr(wt%) Hf(wt%) Ta(wt%) Si(wt%) W(wt%) C(wt%) B(wt%) Fe(wt%) Ru(wt%) Re(wt%) Ni(wt%) O(wt%) Y(wt%) TiB2(wt%)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 495.00 675.00 -1.638272 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 casting lamellar 502.00 690.00 -1.251812 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 450.00 587.00 -1.455932 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 550.00 679.00 -1.568636 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 350.00 596.00 -1.508638 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 405.00 568.00 -1.244125 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting lamellar 604.00 790.00 -1.920819 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 casting lamellar 450.00 687.00 -1.769551 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 casting lamellar 570.00 695.00 -1.823909 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 casting lamellar 440.00 650.00 -1.244125 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 casting lamellar 415.00 510.00 -0.721246 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 casting lamellar 402.00 482.00 -1.823909 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 casting lamellar 344.00 458.00 -1.102373 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 425.00 520.00 -2.000000 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting duplex 350.00 460.00 -1.602060 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding lamellar 648.00 717.00 -1.795880 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding lamellar 517.00 692.00 -1.267606 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 462.00 579.00 -1.552842 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 345.00 468.00 -0.397940 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 473.00 557.00 -1.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging lamellar 375.00 509.00 -1.494850 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 forging lamellar 362.00 485.00 -0.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forging duplex 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forging duplex 360.00 450.00 -1.376751 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forging duplex 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 forging duplex 345.00 476.00 -1.193820 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forging duplex 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 Casting duplex 490.00 567.00 -0.939302 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 480.00 548.00 -1.638272 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forging duplex 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 324.00 492.00 -0.259637 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 330.00 383.00 -2.096910 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging lamellar 290.00 378.00 -1.823909 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 465.00 566.00 -1.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 370.00 540.00 -0.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting duplex 310.00 430.00 -1.193820 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding duplex 480.00 679.00 -1.508638 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding duplex 403.00 563.00 -0.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extruding duplex 330.00 475.00 -0.275724 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding lamellar 454.00 596.00 -2.301030 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding lamellar 405.00 508.00 -1.522879 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extruding lamellar 350.00 589.00 -0.721246 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
44 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sintering lamellar 421.00 581.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
45 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 429.00 516.00 -1.853872 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
46 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting lamellar 286.00 428.00 -0.876148 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
47 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 casting lamellar 368.00 531.00 -0.632644 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
48 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 430.00 515.00 -2.000000 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
49 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 363.00 495.00 -0.632644 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
50 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 casting duplex 334.00 403.00 -0.835647 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
51 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 326.00 422.00 -1.769551 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
52 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 284.00 474.00 -1.292430 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
53 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 458.00 536.00 -1.847712 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
54 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 355.00 539.00 -1.468521 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
55 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 563.00 685.00 -1.017729 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
56 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting duplex 703.00 943.00 -1.283997 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
57 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 486.00 604.00 -1.124939 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
58 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting duplex 342.00 459.00 -1.075721 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
59 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting duplex 263.00 432.00 -1.677781 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
60 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 504.00 599.00 -2.050610 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
61 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 413.00 571.00 -1.705534 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
62 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 528.00 589.00 -2.236572 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
63 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 440.00 532.00 -1.970616 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
64 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 casting duplex 422.00 482.00 -1.995679 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
65 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 casting duplex 359.00 524.00 -1.437707 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
66 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 forging duplex 417.00 547.00 -1.950782 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
67 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 forging lamellar 331.00 587.00 -1.405607 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
68 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extruding duplex 947.00 1070.00 -1.812479 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
69 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extruding lamellar 775.00 1015.00 -1.856985 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
70 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extruding lamellar 637.00 875.00 -3.000000 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
71 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extruding lamellar 810.00 964.00 -2.050610 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
72 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding lamellar 892.00 1092.00 -1.031517 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
73 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 450.00 622.00 -0.966576 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
74 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 624.00 662.00 -2.397940 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
75 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 364.00 554.00 -1.283997 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
76 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 686.00 713.00 -2.397940 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
77 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 676.00 696.00 -2.522879 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
78 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 632.00 706.00 -2.154902 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
79 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 686.00 698.00 -2.698970 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
80 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 671.00 750.00 -2.096910 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
81 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 710.00 756.00 -2.522879 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
82 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 643.00 687.00 -2.397940 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
83 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 617.00 690.00 -2.096910 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
84 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 733.00 817.00 -1.769551 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
85 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 644.00 705.00 -2.301030 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
86 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 732.00 755.00 -2.221849 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
87 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 616.00 669.00 -2.397940 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
88 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 672.00 764.00 -1.958607 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
89 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forging duplex 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
90 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forging duplex 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
91 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 casting duplex 490.00 689.00 -1.080922 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
92 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forging duplex 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
93 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forging duplex 360.00 450.00 0.857332 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
94 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
95 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 casting duplex 310.00 430.00 -1.013228 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
96 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extruding duplex 467.00 640.00 -1.744727 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
97 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extruding duplex 404.00 630.00 -0.667562 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
98 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extruding duplex 340.00 560.00 -0.443697 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
99 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
100 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sintering lamellar 421.00 551.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
101 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 405.00 465.50 -1.809668 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
102 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forging duplex 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
103 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 307.00 435.00 -0.548982 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
104 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 462.00 520.00 -2.221849 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
105 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 364.00 424.00 -0.397940 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
106 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering duplex 799.00 799.00 -1.207608 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
107 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 773.00 885.00 -2.236572 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
108 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 763.00 911.00 -2.086186 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
109 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 806.00 981.00 -2.045757 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
110 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 724.00 775.00 -2.522879 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
111 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 578.00 670.00 -2.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
112 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 479.00 645.00 -1.124939 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
113 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 753.00 975.00 -1.823909 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
114 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forging lamellar 790.00 950.00 -0.602060 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
115 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 689.00 820.00 -1.619789 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
116 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forging duplex 579.00 770.00 -0.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
117 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging lamellar 624.00 860.00 -1.920819 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
118 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forging lamellar 689.00 830.00 -0.508638 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
119 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 casting lamellar 503.00 705.00 -0.638272 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
120 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 casting lamellar 595.00 795.00 -0.920819 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
121 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 607.00 895.00 -1.376751 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
122 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 693.00 913.00 -0.769551 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
123 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 532.00 774.00 -2.055517 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
124 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 689.00 787.00 -2.356547 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
125 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 745.00 963.00 -2.823909 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
126 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 674.00 874.00 -2.107905 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
127 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 631.00 867.00 -2.251812 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
128 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 468.00 550.00 -2.522879 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
129 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 421.00 620.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
130 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 584.00 730.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
131 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 567.00 650.00 -2.221849 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
132 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 342.00 560.00 -2.698970 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
133 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 457.00 560.00 -2.522879 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
134 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 479.00 580.00 -2.397940 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
135 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 424.00 600.00 -2.221849 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
136 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 423.00 650.00 -2.346787 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
137 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting lamellar 465.00 680.00 -1.096910 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
138 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 423.00 660.00 -1.000000 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
139 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 413.00 660.00 -0.920819 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
140 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting lamellar 363.00 520.00 -0.397940 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
141 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting lamellar 467.00 526.00 -0.494850 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
142 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 754.00 930.00 -2.070581 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
143 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting lamellar 745.00 890.00 -0.602060 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
144 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 721.00 900.00 -0.154902 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
145 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 497.00 500.00 0.008600 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
146 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting lamellar 345.00 480.00 0.217484 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
147 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 579.00 780.00 0.120574 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
148 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 524.00 736.50 0.089905 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
149 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 364.00 546.00 0.214844 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
150 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 579.00 776.00 -0.267606 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
151 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 352.00 494.00 -0.327902 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
152 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 503.00 780.00 -0.200659 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
153 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 463.00 633.00 -0.468521 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
154 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 683.00 803.00 -0.769551 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
155 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 503.00 705.00 -0.552842 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
156 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 604.00 806.00 -0.366532 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
157 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 595.00 754.00 -0.431798 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
158 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 640.00 896.00 -0.376751 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
159 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 395.00 596.00 -0.638272 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
160 54.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 406.00 629.00 -0.677781 801.897799 0.638530 0.286572 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.074898 0.000000 0.000000 0.000000 0.000000 0.000000
161 52.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 395.00 539.00 -0.508638 1296.813694 0.599134 0.279234 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.121632 0.000000 0.000000 0.000000 0.000000 0.000000
162 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 casting lamellar 425.00 511.00 -2.301030 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
163 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 casting lamellar 340.00 426.00 -1.244125 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
164 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 casting lamellar 300.00 500.00 -1.522879 107.774260 0.653669 0.319756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002588 0.000000 0.000000 0.000000 0.000000 0.000000 0.023988 0.000000 0.000000 0.000000 0.000000
165 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 405.00 680.00 -0.698970 9.063445 0.653868 0.319853 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002589 0.023690 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
166 53.000 46.0 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 305.00 580.00 -0.698970 8.822925 0.661358 0.323517 0.000000 0.000000 0.000000 0.012506 0.000000 0.000000 0.000000 0.000000 0.002618 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
167 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 494.00 1414.00 -0.638272 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
168 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 547.00 1781.00 -0.602060 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
169 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forging duplex 962.00 1174.00 -1.995679 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
170 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forging duplex 681.00 777.00 -0.431798 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
171 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 305.00 545.00 -1.869666 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
172 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 323.00 562.00 -1.847712 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
173 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 366.00 558.00 -1.879426 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
174 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 358.00 573.00 -1.832683 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
175 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 356.00 414.00 -1.091515 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
176 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 364.00 552.00 -0.677781 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
177 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 367.00 522.00 -0.494850 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
178 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 462.00 580.00 -0.236572 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
179 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 620.00 697.00 -1.397940 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
180 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 715.00 770.00 -1.221849 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
181 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 600.00 680.00 -1.522879 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
182 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 460.00 505.00 -0.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
183 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 660.00 750.00 -1.823909 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
184 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 690.00 760.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
185 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 610.00 750.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
186 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 497.00 536.00 -2.408935 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
187 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 444.00 552.00 -1.085128 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
188 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 506.00 771.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
189 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 470.00 515.00 -0.036684 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
190 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 528.00 735.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
191 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting duplex 421.00 486.00 -0.123782 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
192 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 943.00 1700.00 -0.173925 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
193 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 356.00 420.00 -0.468521 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
194 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 640.00 1780.00 -0.124939 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
195 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 305.00 440.00 -0.080922 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
196 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 850.00 1870.00 -0.075721 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
197 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 395.00 465.00 -0.251812 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
198 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 940.00 1900.00 -0.136677 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
199 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 356.00 468.00 -0.142668 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
200 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1032.00 2050.00 -0.070581 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
201 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 305.00 550.00 -0.022276 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
202 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1348.00 2030.00 -0.026872 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
203 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 casting lamellar 402.00 600.00 -0.468521 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
204 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 615.00 1440.00 -0.193820 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
205 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 204.00 392.00 -0.366532 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
206 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering equaixed 1665.00 2526.00 -0.492144 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
207 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 casting lamellar 780.00 2080.00 -0.552842 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
208 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 casting lamellar 780.00 2014.00 -0.070581 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
209 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 680.00 1294.00 -0.468521 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
210 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 420.00 1024.00 -0.267606 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
211 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 casting lamellar 200.00 840.00 -0.173925 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
212 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 casting lamellar 920.00 2250.00 -0.552842 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 casting lamellar 980.00 1943.00 -0.468521 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 720.00 943.00 -0.443697 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting lamellar 430.00 693.00 -0.327902 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 casting lamellar 250.00 492.00 -0.638272 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
217 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1917.00 2150.00 -1.823909 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1483.00 2088.00 -1.337242 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 2140.00 2643.00 -1.173925 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1643.00 2567.00 -0.806875 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1108.00 2687.00 -0.565431 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1653.00 2514.00 -0.978811 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1342.00 2274.00 -0.906578 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 909.00 3106.00 -0.497573 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 1112.00 2321.00 -0.694649 26.270307 0.451694 0.309623 0.000000 0.238683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 395.00 550.00 -2.096910 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 309.00 400.00 -1.431798 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 310.00 560.00 -1.978811 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 300.00 500.00 -1.283997 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 359.00 540.00 -2.000000 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 305.00 470.00 -1.332547 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 881.00 1113.00 -1.619789 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 casting lamellar 745.00 1070.00 -0.869666 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 casting lamellar 570.00 860.00 -0.468521 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1100.00 1500.00 -1.301030 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1500.00 1800.00 -0.721246 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1520.00 2250.00 -0.602060 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 1560.00 2500.00 -0.508638 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 1020.00 1500.00 -0.275724 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 150.00 313.63 -2.096910 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 191.74 392.67 -1.557520 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 371.85 426.88 -1.485452 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 224.61 353.31 -1.165579 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 440.43 527.77 -1.465974 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 341.45 430.78 -1.124939 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 543.55 672.33 -1.295849 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 506.31 625.22 -1.143271 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 607.35 730.09 -1.371611 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 486.25 607.78 -1.101275 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 353.31 464.61 -1.571865 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 385.97 468.56 -1.244888 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 524.56 632.83 -1.496209 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 508.36 620.53 -1.128427 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 586.21 690.42 -1.468521 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sintering lamellar 536.24 645.41 -1.153045 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 480.00 520.00 -2.045757 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 475.00 520.00 -1.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering duplex 490.00 530.00 -2.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering duplex 500.00 600.00 -0.346787 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 600.00 650.00 -1.886057 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 500.00 640.00 -0.318759 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering equaixed 650.00 710.00 -1.744727 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering equaixed 520.00 650.00 -0.356547 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sintering lamellar 480.00 500.00 -1.823909 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sintering lamellar 500.00 625.00 -0.376751 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 312.00 570.00 -2.318759 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 360.00 584.00 -2.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 casting lamellar 395.00 453.00 -2.522879 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 casting lamellar 445.00 640.00 -2.187087 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 100.00 150.00 -2.119186 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 102.00 200.00 -2.167491 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 104.00 240.00 -2.055517 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 149.00 300.00 -2.036212 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting lamellar 190.00 373.00 -1.838632 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 casting duplex 204.00 506.00 -1.578396 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 casting duplex 302.00 520.00 -1.438899 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 casting lamellar 460.00 604.00 -1.249492 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 casting lamellar 503.00 780.00 -1.465974 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 casting duplex 705.00 1039.00 -1.060481 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 sintering lamellar 503.00 805.00 -1.026872 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sintering duplex 704.00 935.00 -0.978811 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 casting duplex 893.00 1034.00 -0.939302 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 sintering lamellar 935.00 1235.00 -0.903090 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348

2.11 Categorical Variables Processing (process_text Function)

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This dataset slightly differs from the one used in coursework 1. Categorical variables have been placed in this dataset and it is assumed that they are essential for the predictions of the yield strength, tensile strength and Elongation (Log 10). This is because the categorical variables consist of the synthesis methods used for the production of the (γ) and ((α2) + (γ)) titanium alumimides as well as the respective microstructure and theoratically the synthesis methods and microstructure formation can have an impact on the 3 mechanical properties.

Therefore, the first step to process the 2 columns of categorical variables (Synthesis Methods and Microstructure) is to simplify the text contents in both columns to their basic forms using stemming while removing the punctuations and converting them to a list with Ngram tokenising. The process_text function performs the function of converting the text (string) to a lower case, applies stemming and Ngram tokenisation and returns the tokenised text as a list into the 2 respective columns after application.

In [13]:
def process_text(text, n = 1):
    
    """
    Takes in a string of text, then performs the following:
    1. Convert text to lower case and remove all punctuation
    2. Optionally apply stemming
    3. Apply Ngram Tokenisation
    4. Returns the tokenised text as a list
    """
    # Define the SnowballStemmer module
    Stemmer = SnowballStemmer(language = "english")
    
    # Define the input text variable for the process_text function as a string
    text = str(text)
    
    # Convert all text to lower case for the input text string variable
    text = text.lower()
    
    # Remove all punctuation for the input text string variable
    text = re.sub(r"[^a-zA-Z0-9\s]", "", text)

    # Create the token words for the input text string variable and converting them into a list
    tokens = [token for token in text.split(" ") if token != ""]
    
    # Create an empty array to append the finalized token list words after stemming using the SnowballStemmer module 
    tokens_final = []
    
    # Stem the token list words from the input text string variable and append the results into the tokens_final empty array
    for word in tokens:
        Stemmed = Stemmer.stem(word)
        tokens_final.append(Stemmed)
        
    # Perform ngrams tokenisation of the finalized stemmed token list words from the input text string variable and return them
    tokenised = list(ngrams(tokens_final, n = n))
    
    return tokenised

2.12 Categorical Variables Processing (remove_punctuations Function)

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After the stemmed text has been returned as a tokenised list, the output list of tokenised words will contain punctuations which need to be removed as categorical encoding will follow after the tokenised text list has been returned into the 2 categorical columns (Synthesis Methods and Microstructure). Therefore, the remove_punctuations function will take in the tokenised text as a string and have the punctuations removed accordingly after application.

In [14]:
def remove_punctuations(text):
    
    """
    Takes in a string of text, then performs the following:
    1. Removes all punctuation
    
    """
    
    for punctuation in string.punctuation:
        text = text.replace(punctuation, "")
    return text

2.13 Categorical Variables Processing (Tokenising and Stemming)

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Once the process_text function has been made, it is applied throughout the Synthesis Methods column (column 22) and Microstructure column (column 23). The text has all been converted to a lower case as a string with punctuations removal with Ngram tokenisation to create the list of tokenised words with stemming to simplify the tokenised text words and return the tokenised text words as a list back to the 2 respective categorical variables columns.

In [15]:
# Apply the process_text function to the Synthesis Methods column

TiAl_Input_drop["Synthesis Methods"] = TiAl_Input_drop["Synthesis Methods"].apply(process_text)

TiAl_Input_drop
Out[15]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg) Ti(wt%) Al(wt%) Mn(wt%) Nb(wt%) Cr(wt%) Mo(wt%) V(wt%) Zr(wt%) Hf(wt%) Ta(wt%) Si(wt%) W(wt%) C(wt%) B(wt%) Fe(wt%) Ru(wt%) Re(wt%) Ni(wt%) O(wt%) Y(wt%) TiB2(wt%)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 495.00 675.00 -1.638272 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 [(cast,)] lamellar 502.00 690.00 -1.251812 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] lamellar 450.00 587.00 -1.455932 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 550.00 679.00 -1.568636 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] lamellar 350.00 596.00 -1.508638 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 405.00 568.00 -1.244125 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(cast,)] lamellar 604.00 790.00 -1.920819 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 [(cast,)] lamellar 450.00 687.00 -1.769551 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 [(cast,)] lamellar 570.00 695.00 -1.823909 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 [(cast,)] lamellar 440.00 650.00 -1.244125 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 [(cast,)] lamellar 415.00 510.00 -0.721246 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 [(cast,)] lamellar 402.00 482.00 -1.823909 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 [(cast,)] lamellar 344.00 458.00 -1.102373 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 425.00 520.00 -2.000000 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(cast,)] duplex 350.00 460.00 -1.602060 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(extrud,)] lamellar 648.00 717.00 -1.795880 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(extrud,)] lamellar 517.00 692.00 -1.267606 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] duplex 462.00 579.00 -1.552842 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] duplex 345.00 468.00 -0.397940 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] lamellar 473.00 557.00 -1.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] lamellar 375.00 509.00 -1.494850 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 [(forg,)] lamellar 362.00 485.00 -0.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 [(forg,)] duplex 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 [(forg,)] duplex 360.00 450.00 -1.376751 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 [(forg,)] duplex 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 [(forg,)] duplex 345.00 476.00 -1.193820 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 [(forg,)] duplex 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 [(cast,)] duplex 490.00 567.00 -0.939302 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] duplex 480.00 548.00 -1.638272 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 [(forg,)] duplex 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] duplex 324.00 492.00 -0.259637 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] lamellar 330.00 383.00 -2.096910 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] lamellar 290.00 378.00 -1.823909 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 465.00 566.00 -1.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] lamellar 370.00 540.00 -0.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(cast,)] duplex 310.00 430.00 -1.193820 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(extrud,)] duplex 480.00 679.00 -1.508638 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(extrud,)] duplex 403.00 563.00 -0.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 [(extrud,)] duplex 330.00 475.00 -0.275724 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(extrud,)] lamellar 454.00 596.00 -2.301030 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(extrud,)] lamellar 405.00 508.00 -1.522879 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 [(extrud,)] lamellar 350.00 589.00 -0.721246 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
44 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(sinter,)] lamellar 421.00 581.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
45 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 429.00 516.00 -1.853872 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
46 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(cast,)] lamellar 286.00 428.00 -0.876148 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
47 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 [(cast,)] lamellar 368.00 531.00 -0.632644 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
48 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 430.00 515.00 -2.000000 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
49 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] duplex 363.00 495.00 -0.632644 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
50 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 [(cast,)] duplex 334.00 403.00 -0.835647 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
51 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(cast,)] duplex 326.00 422.00 -1.769551 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
52 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(cast,)] duplex 284.00 474.00 -1.292430 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
53 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(cast,)] duplex 458.00 536.00 -1.847712 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
54 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(cast,)] duplex 355.00 539.00 -1.468521 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
55 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 563.00 685.00 -1.017729 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
56 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(cast,)] duplex 703.00 943.00 -1.283997 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
57 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] duplex 486.00 604.00 -1.124939 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
58 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 [(cast,)] duplex 342.00 459.00 -1.075721 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
59 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] duplex 263.00 432.00 -1.677781 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
60 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(cast,)] duplex 504.00 599.00 -2.050610 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
61 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(cast,)] duplex 413.00 571.00 -1.705534 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
62 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(cast,)] duplex 528.00 589.00 -2.236572 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
63 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(cast,)] duplex 440.00 532.00 -1.970616 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
64 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(cast,)] duplex 422.00 482.00 -1.995679 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
65 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(cast,)] duplex 359.00 524.00 -1.437707 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
66 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(forg,)] duplex 417.00 547.00 -1.950782 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
67 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(forg,)] lamellar 331.00 587.00 -1.405607 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
68 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(extrud,)] duplex 947.00 1070.00 -1.812479 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
69 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(extrud,)] lamellar 775.00 1015.00 -1.856985 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
70 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(extrud,)] lamellar 637.00 875.00 -3.000000 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
71 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(extrud,)] lamellar 810.00 964.00 -2.050610 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
72 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(extrud,)] lamellar 892.00 1092.00 -1.031517 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
73 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 450.00 622.00 -0.966576 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
74 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 624.00 662.00 -2.397940 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
75 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 364.00 554.00 -1.283997 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
76 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 686.00 713.00 -2.397940 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
77 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 676.00 696.00 -2.522879 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
78 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 632.00 706.00 -2.154902 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
79 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 686.00 698.00 -2.698970 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
80 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 671.00 750.00 -2.096910 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
81 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 710.00 756.00 -2.522879 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
82 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 643.00 687.00 -2.397940 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
83 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 617.00 690.00 -2.096910 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
84 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 733.00 817.00 -1.769551 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
85 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 644.00 705.00 -2.301030 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
86 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 732.00 755.00 -2.221849 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
87 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 616.00 669.00 -2.397940 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
88 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 672.00 764.00 -1.958607 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
89 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 [(forg,)] duplex 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
90 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 [(forg,)] duplex 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
91 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 [(cast,)] duplex 490.00 689.00 -1.080922 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
92 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 [(forg,)] duplex 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
93 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 [(forg,)] duplex 360.00 450.00 0.857332 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
94 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
95 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(cast,)] duplex 310.00 430.00 -1.013228 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
96 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(extrud,)] duplex 467.00 640.00 -1.744727 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
97 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(extrud,)] duplex 404.00 630.00 -0.667562 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
98 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 [(extrud,)] duplex 340.00 560.00 -0.443697 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
99 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
100 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(sinter,)] lamellar 421.00 551.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
101 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] duplex 405.00 465.50 -1.809668 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
102 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 [(forg,)] duplex 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
103 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] duplex 307.00 435.00 -0.548982 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
104 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 462.00 520.00 -2.221849 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
105 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] duplex 364.00 424.00 -0.397940 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
106 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] duplex 799.00 799.00 -1.207608 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
107 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 773.00 885.00 -2.236572 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
108 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 763.00 911.00 -2.086186 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
109 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 806.00 981.00 -2.045757 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
110 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 724.00 775.00 -2.522879 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
111 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 578.00 670.00 -2.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
112 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] lamellar 479.00 645.00 -1.124939 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
113 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] lamellar 753.00 975.00 -1.823909 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
114 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(forg,)] lamellar 790.00 950.00 -0.602060 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
115 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] duplex 689.00 820.00 -1.619789 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
116 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(forg,)] duplex 579.00 770.00 -0.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
117 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] lamellar 624.00 860.00 -1.920819 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
118 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(forg,)] lamellar 689.00 830.00 -0.508638 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
119 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 [(cast,)] lamellar 503.00 705.00 -0.638272 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
120 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 [(cast,)] lamellar 595.00 795.00 -0.920819 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
121 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 607.00 895.00 -1.376751 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
122 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 693.00 913.00 -0.769551 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
123 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 532.00 774.00 -2.055517 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
124 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 689.00 787.00 -2.356547 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
125 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 745.00 963.00 -2.823909 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
126 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 674.00 874.00 -2.107905 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
127 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 631.00 867.00 -2.251812 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
128 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 468.00 550.00 -2.522879 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
129 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 421.00 620.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
130 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 584.00 730.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
131 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 567.00 650.00 -2.221849 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
132 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 342.00 560.00 -2.698970 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
133 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 457.00 560.00 -2.522879 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
134 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 479.00 580.00 -2.397940 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
135 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 424.00 600.00 -2.221849 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
136 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 423.00 650.00 -2.346787 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
137 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(cast,)] lamellar 465.00 680.00 -1.096910 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
138 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] lamellar 423.00 660.00 -1.000000 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
139 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 413.00 660.00 -0.920819 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
140 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 [(cast,)] lamellar 363.00 520.00 -0.397940 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
141 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 [(cast,)] lamellar 467.00 526.00 -0.494850 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
142 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 754.00 930.00 -2.070581 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
143 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(cast,)] lamellar 745.00 890.00 -0.602060 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
144 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] lamellar 721.00 900.00 -0.154902 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
145 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 497.00 500.00 0.008600 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
146 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 [(cast,)] lamellar 345.00 480.00 0.217484 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
147 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 579.00 780.00 0.120574 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
148 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 524.00 736.50 0.089905 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
149 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 364.00 546.00 0.214844 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
150 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 579.00 776.00 -0.267606 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
151 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 352.00 494.00 -0.327902 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
152 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 503.00 780.00 -0.200659 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
153 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 463.00 633.00 -0.468521 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
154 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 683.00 803.00 -0.769551 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
155 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 503.00 705.00 -0.552842 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
156 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 604.00 806.00 -0.366532 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
157 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 595.00 754.00 -0.431798 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
158 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 640.00 896.00 -0.376751 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
159 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 395.00 596.00 -0.638272 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
160 54.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 406.00 629.00 -0.677781 801.897799 0.638530 0.286572 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.074898 0.000000 0.000000 0.000000 0.000000 0.000000
161 52.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 395.00 539.00 -0.508638 1296.813694 0.599134 0.279234 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.121632 0.000000 0.000000 0.000000 0.000000 0.000000
162 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 [(cast,)] lamellar 425.00 511.00 -2.301030 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
163 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 [(cast,)] lamellar 340.00 426.00 -1.244125 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
164 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 300.00 500.00 -1.522879 107.774260 0.653669 0.319756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002588 0.000000 0.000000 0.000000 0.000000 0.000000 0.023988 0.000000 0.000000 0.000000 0.000000
165 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 405.00 680.00 -0.698970 9.063445 0.653868 0.319853 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002589 0.023690 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
166 53.000 46.0 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 305.00 580.00 -0.698970 8.822925 0.661358 0.323517 0.000000 0.000000 0.000000 0.012506 0.000000 0.000000 0.000000 0.000000 0.002618 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
167 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 494.00 1414.00 -0.638272 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
168 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 547.00 1781.00 -0.602060 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
169 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] duplex 962.00 1174.00 -1.995679 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
170 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] duplex 681.00 777.00 -0.431798 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
171 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 305.00 545.00 -1.869666 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
172 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 323.00 562.00 -1.847712 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
173 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 366.00 558.00 -1.879426 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
174 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 358.00 573.00 -1.832683 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
175 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 356.00 414.00 -1.091515 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
176 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 364.00 552.00 -0.677781 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
177 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 367.00 522.00 -0.494850 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
178 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 462.00 580.00 -0.236572 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
179 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 620.00 697.00 -1.397940 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
180 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 715.00 770.00 -1.221849 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
181 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 600.00 680.00 -1.522879 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
182 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 460.00 505.00 -0.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
183 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 660.00 750.00 -1.823909 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
184 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 690.00 760.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
185 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 610.00 750.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
186 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 497.00 536.00 -2.408935 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
187 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 444.00 552.00 -1.085128 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
188 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 506.00 771.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
189 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] duplex 470.00 515.00 -0.036684 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
190 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 528.00 735.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
191 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] duplex 421.00 486.00 -0.123782 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
192 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 943.00 1700.00 -0.173925 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
193 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] lamellar 356.00 420.00 -0.468521 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
194 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 640.00 1780.00 -0.124939 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
195 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] lamellar 305.00 440.00 -0.080922 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
196 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 850.00 1870.00 -0.075721 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
197 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] lamellar 395.00 465.00 -0.251812 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
198 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 940.00 1900.00 -0.136677 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
199 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] lamellar 356.00 468.00 -0.142668 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
200 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 1032.00 2050.00 -0.070581 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
201 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] lamellar 305.00 550.00 -0.022276 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
202 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 1348.00 2030.00 -0.026872 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
203 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] lamellar 402.00 600.00 -0.468521 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
204 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 615.00 1440.00 -0.193820 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
205 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 204.00 392.00 -0.366532 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
206 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] equaixed 1665.00 2526.00 -0.492144 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
207 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 [(cast,)] lamellar 780.00 2080.00 -0.552842 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
208 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 [(cast,)] lamellar 780.00 2014.00 -0.070581 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
209 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 680.00 1294.00 -0.468521 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
210 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 420.00 1024.00 -0.267606 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
211 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 [(cast,)] lamellar 200.00 840.00 -0.173925 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
212 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 [(cast,)] lamellar 920.00 2250.00 -0.552842 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 [(cast,)] lamellar 980.00 1943.00 -0.468521 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 720.00 943.00 -0.443697 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] lamellar 430.00 693.00 -0.327902 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 [(cast,)] lamellar 250.00 492.00 -0.638272 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
217 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 1917.00 2150.00 -1.823909 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 1483.00 2088.00 -1.337242 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 2140.00 2643.00 -1.173925 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 1643.00 2567.00 -0.806875 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 1108.00 2687.00 -0.565431 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 1653.00 2514.00 -0.978811 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 1342.00 2274.00 -0.906578 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 909.00 3106.00 -0.497573 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 1112.00 2321.00 -0.694649 26.270307 0.451694 0.309623 0.000000 0.238683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 395.00 550.00 -2.096910 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 309.00 400.00 -1.431798 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 310.00 560.00 -1.978811 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 300.00 500.00 -1.283997 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 359.00 540.00 -2.000000 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 305.00 470.00 -1.332547 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 881.00 1113.00 -1.619789 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(cast,)] lamellar 745.00 1070.00 -0.869666 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] lamellar 570.00 860.00 -0.468521 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 1100.00 1500.00 -1.301030 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 1500.00 1800.00 -0.721246 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 1520.00 2250.00 -0.602060 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 1560.00 2500.00 -0.508638 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] lamellar 1020.00 1500.00 -0.275724 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 150.00 313.63 -2.096910 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 191.74 392.67 -1.557520 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 371.85 426.88 -1.485452 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] lamellar 224.61 353.31 -1.165579 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 440.43 527.77 -1.465974 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] lamellar 341.45 430.78 -1.124939 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 543.55 672.33 -1.295849 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] lamellar 506.31 625.22 -1.143271 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 607.35 730.09 -1.371611 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] lamellar 486.25 607.78 -1.101275 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 353.31 464.61 -1.571865 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] lamellar 385.97 468.56 -1.244888 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 524.56 632.83 -1.496209 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] lamellar 508.36 620.53 -1.128427 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 586.21 690.42 -1.468521 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] lamellar 536.24 645.41 -1.153045 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 480.00 520.00 -2.045757 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] lamellar 475.00 520.00 -1.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] duplex 490.00 530.00 -2.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] duplex 500.00 600.00 -0.346787 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 600.00 650.00 -1.886057 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] lamellar 500.00 640.00 -0.318759 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] equaixed 650.00 710.00 -1.744727 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] equaixed 520.00 650.00 -0.356547 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] lamellar 480.00 500.00 -1.823909 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] lamellar 500.00 625.00 -0.376751 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 312.00 570.00 -2.318759 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 360.00 584.00 -2.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 [(cast,)] lamellar 395.00 453.00 -2.522879 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 [(cast,)] lamellar 445.00 640.00 -2.187087 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 100.00 150.00 -2.119186 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 102.00 200.00 -2.167491 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 104.00 240.00 -2.055517 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 149.00 300.00 -2.036212 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] lamellar 190.00 373.00 -1.838632 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] duplex 204.00 506.00 -1.578396 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 [(cast,)] duplex 302.00 520.00 -1.438899 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 [(cast,)] lamellar 460.00 604.00 -1.249492 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 [(cast,)] lamellar 503.00 780.00 -1.465974 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] duplex 705.00 1039.00 -1.060481 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(sinter,)] lamellar 503.00 805.00 -1.026872 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(sinter,)] duplex 704.00 935.00 -0.978811 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 [(cast,)] duplex 893.00 1034.00 -0.939302 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 [(sinter,)] lamellar 935.00 1235.00 -0.903090 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
In [16]:
# Apply the process_text function to the Microstructure column

TiAl_Input_drop["Microstructure"] = TiAl_Input_drop["Microstructure"].apply(process_text)

TiAl_Input_drop
Out[16]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg) Ti(wt%) Al(wt%) Mn(wt%) Nb(wt%) Cr(wt%) Mo(wt%) V(wt%) Zr(wt%) Hf(wt%) Ta(wt%) Si(wt%) W(wt%) C(wt%) B(wt%) Fe(wt%) Ru(wt%) Re(wt%) Ni(wt%) O(wt%) Y(wt%) TiB2(wt%)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 495.00 675.00 -1.638272 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 [(cast,)] [(lamellar,)] 502.00 690.00 -1.251812 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] [(lamellar,)] 450.00 587.00 -1.455932 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 550.00 679.00 -1.568636 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] [(lamellar,)] 350.00 596.00 -1.508638 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 405.00 568.00 -1.244125 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(cast,)] [(lamellar,)] 604.00 790.00 -1.920819 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 [(cast,)] [(lamellar,)] 450.00 687.00 -1.769551 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 [(cast,)] [(lamellar,)] 570.00 695.00 -1.823909 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 [(cast,)] [(lamellar,)] 440.00 650.00 -1.244125 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 [(cast,)] [(lamellar,)] 415.00 510.00 -0.721246 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 [(cast,)] [(lamellar,)] 402.00 482.00 -1.823909 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 [(cast,)] [(lamellar,)] 344.00 458.00 -1.102373 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 425.00 520.00 -2.000000 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(cast,)] [(duplex,)] 350.00 460.00 -1.602060 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(extrud,)] [(lamellar,)] 648.00 717.00 -1.795880 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(extrud,)] [(lamellar,)] 517.00 692.00 -1.267606 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] [(duplex,)] 462.00 579.00 -1.552842 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] [(duplex,)] 345.00 468.00 -0.397940 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] [(lamellar,)] 473.00 557.00 -1.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] [(lamellar,)] 375.00 509.00 -1.494850 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 [(forg,)] [(lamellar,)] 362.00 485.00 -0.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 [(forg,)] [(duplex,)] 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 [(forg,)] [(duplex,)] 360.00 450.00 -1.376751 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 [(forg,)] [(duplex,)] 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 [(forg,)] [(duplex,)] 345.00 476.00 -1.193820 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 [(forg,)] [(duplex,)] 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 [(cast,)] [(duplex,)] 490.00 567.00 -0.939302 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] [(duplex,)] 480.00 548.00 -1.638272 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 [(forg,)] [(duplex,)] 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] [(duplex,)] 324.00 492.00 -0.259637 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] [(lamellar,)] 330.00 383.00 -2.096910 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] [(lamellar,)] 290.00 378.00 -1.823909 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 465.00 566.00 -1.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] [(lamellar,)] 370.00 540.00 -0.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(cast,)] [(duplex,)] 310.00 430.00 -1.193820 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(extrud,)] [(duplex,)] 480.00 679.00 -1.508638 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(extrud,)] [(duplex,)] 403.00 563.00 -0.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 [(extrud,)] [(duplex,)] 330.00 475.00 -0.275724 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(extrud,)] [(lamellar,)] 454.00 596.00 -2.301030 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(extrud,)] [(lamellar,)] 405.00 508.00 -1.522879 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 [(extrud,)] [(lamellar,)] 350.00 589.00 -0.721246 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
44 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(sinter,)] [(lamellar,)] 421.00 581.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
45 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 429.00 516.00 -1.853872 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
46 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(cast,)] [(lamellar,)] 286.00 428.00 -0.876148 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
47 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 [(cast,)] [(lamellar,)] 368.00 531.00 -0.632644 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
48 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 430.00 515.00 -2.000000 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
49 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(duplex,)] 363.00 495.00 -0.632644 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
50 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 [(cast,)] [(duplex,)] 334.00 403.00 -0.835647 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
51 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(cast,)] [(duplex,)] 326.00 422.00 -1.769551 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
52 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(cast,)] [(duplex,)] 284.00 474.00 -1.292430 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
53 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(cast,)] [(duplex,)] 458.00 536.00 -1.847712 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
54 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(cast,)] [(duplex,)] 355.00 539.00 -1.468521 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
55 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 563.00 685.00 -1.017729 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
56 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(cast,)] [(duplex,)] 703.00 943.00 -1.283997 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
57 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(duplex,)] 486.00 604.00 -1.124939 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
58 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 [(cast,)] [(duplex,)] 342.00 459.00 -1.075721 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
59 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(duplex,)] 263.00 432.00 -1.677781 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
60 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(cast,)] [(duplex,)] 504.00 599.00 -2.050610 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
61 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(cast,)] [(duplex,)] 413.00 571.00 -1.705534 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
62 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(cast,)] [(duplex,)] 528.00 589.00 -2.236572 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
63 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(cast,)] [(duplex,)] 440.00 532.00 -1.970616 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
64 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(cast,)] [(duplex,)] 422.00 482.00 -1.995679 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
65 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(cast,)] [(duplex,)] 359.00 524.00 -1.437707 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
66 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(forg,)] [(duplex,)] 417.00 547.00 -1.950782 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
67 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(forg,)] [(lamellar,)] 331.00 587.00 -1.405607 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
68 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(extrud,)] [(duplex,)] 947.00 1070.00 -1.812479 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
69 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(extrud,)] [(lamellar,)] 775.00 1015.00 -1.856985 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
70 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 [(extrud,)] [(lamellar,)] 637.00 875.00 -3.000000 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
71 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(extrud,)] [(lamellar,)] 810.00 964.00 -2.050610 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
72 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(extrud,)] [(lamellar,)] 892.00 1092.00 -1.031517 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
73 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 450.00 622.00 -0.966576 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
74 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 624.00 662.00 -2.397940 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
75 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 364.00 554.00 -1.283997 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
76 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 686.00 713.00 -2.397940 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
77 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 676.00 696.00 -2.522879 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
78 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 632.00 706.00 -2.154902 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
79 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 686.00 698.00 -2.698970 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
80 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 671.00 750.00 -2.096910 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
81 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 710.00 756.00 -2.522879 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
82 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 643.00 687.00 -2.397940 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
83 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 617.00 690.00 -2.096910 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
84 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 733.00 817.00 -1.769551 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
85 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 644.00 705.00 -2.301030 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
86 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 732.00 755.00 -2.221849 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
87 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 616.00 669.00 -2.397940 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
88 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 672.00 764.00 -1.958607 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
89 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 [(forg,)] [(duplex,)] 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
90 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 [(forg,)] [(duplex,)] 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
91 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 [(cast,)] [(duplex,)] 490.00 689.00 -1.080922 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
92 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 [(forg,)] [(duplex,)] 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
93 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 [(forg,)] [(duplex,)] 360.00 450.00 0.857332 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
94 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
95 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(cast,)] [(duplex,)] 310.00 430.00 -1.013228 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
96 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(extrud,)] [(duplex,)] 467.00 640.00 -1.744727 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
97 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 [(extrud,)] [(duplex,)] 404.00 630.00 -0.667562 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
98 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 [(extrud,)] [(duplex,)] 340.00 560.00 -0.443697 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
99 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
100 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(sinter,)] [(lamellar,)] 421.00 551.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
101 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] [(duplex,)] 405.00 465.50 -1.809668 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
102 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 [(forg,)] [(duplex,)] 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
103 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] [(duplex,)] 307.00 435.00 -0.548982 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
104 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 462.00 520.00 -2.221849 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
105 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(duplex,)] 364.00 424.00 -0.397940 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
106 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(duplex,)] 799.00 799.00 -1.207608 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
107 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 773.00 885.00 -2.236572 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
108 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 763.00 911.00 -2.086186 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
109 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 806.00 981.00 -2.045757 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
110 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 724.00 775.00 -2.522879 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
111 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 578.00 670.00 -2.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
112 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] [(lamellar,)] 479.00 645.00 -1.124939 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
113 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] [(lamellar,)] 753.00 975.00 -1.823909 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
114 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(forg,)] [(lamellar,)] 790.00 950.00 -0.602060 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
115 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] [(duplex,)] 689.00 820.00 -1.619789 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
116 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(forg,)] [(duplex,)] 579.00 770.00 -0.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
117 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] [(lamellar,)] 624.00 860.00 -1.920819 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
118 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(forg,)] [(lamellar,)] 689.00 830.00 -0.508638 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
119 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 [(cast,)] [(lamellar,)] 503.00 705.00 -0.638272 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
120 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 [(cast,)] [(lamellar,)] 595.00 795.00 -0.920819 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
121 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 607.00 895.00 -1.376751 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
122 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 693.00 913.00 -0.769551 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
123 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 532.00 774.00 -2.055517 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
124 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 689.00 787.00 -2.356547 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
125 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 745.00 963.00 -2.823909 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
126 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 674.00 874.00 -2.107905 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
127 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 631.00 867.00 -2.251812 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
128 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 468.00 550.00 -2.522879 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
129 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 421.00 620.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
130 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 584.00 730.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
131 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 567.00 650.00 -2.221849 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
132 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 342.00 560.00 -2.698970 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
133 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 457.00 560.00 -2.522879 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
134 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 479.00 580.00 -2.397940 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
135 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 424.00 600.00 -2.221849 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
136 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 423.00 650.00 -2.346787 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
137 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(cast,)] [(lamellar,)] 465.00 680.00 -1.096910 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
138 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] [(lamellar,)] 423.00 660.00 -1.000000 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
139 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 413.00 660.00 -0.920819 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
140 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 [(cast,)] [(lamellar,)] 363.00 520.00 -0.397940 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
141 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 [(cast,)] [(lamellar,)] 467.00 526.00 -0.494850 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
142 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 754.00 930.00 -2.070581 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
143 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(cast,)] [(lamellar,)] 745.00 890.00 -0.602060 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
144 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] [(lamellar,)] 721.00 900.00 -0.154902 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
145 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 497.00 500.00 0.008600 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
146 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 [(cast,)] [(lamellar,)] 345.00 480.00 0.217484 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
147 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 579.00 780.00 0.120574 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
148 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 524.00 736.50 0.089905 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
149 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 364.00 546.00 0.214844 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
150 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 579.00 776.00 -0.267606 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
151 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 352.00 494.00 -0.327902 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
152 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 503.00 780.00 -0.200659 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
153 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 463.00 633.00 -0.468521 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
154 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 683.00 803.00 -0.769551 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
155 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 503.00 705.00 -0.552842 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
156 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 604.00 806.00 -0.366532 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
157 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 595.00 754.00 -0.431798 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
158 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 640.00 896.00 -0.376751 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
159 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 395.00 596.00 -0.638272 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
160 54.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 406.00 629.00 -0.677781 801.897799 0.638530 0.286572 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.074898 0.000000 0.000000 0.000000 0.000000 0.000000
161 52.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 395.00 539.00 -0.508638 1296.813694 0.599134 0.279234 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.121632 0.000000 0.000000 0.000000 0.000000 0.000000
162 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 [(cast,)] [(lamellar,)] 425.00 511.00 -2.301030 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
163 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 [(cast,)] [(lamellar,)] 340.00 426.00 -1.244125 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
164 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 300.00 500.00 -1.522879 107.774260 0.653669 0.319756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002588 0.000000 0.000000 0.000000 0.000000 0.000000 0.023988 0.000000 0.000000 0.000000 0.000000
165 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 405.00 680.00 -0.698970 9.063445 0.653868 0.319853 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002589 0.023690 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
166 53.000 46.0 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 305.00 580.00 -0.698970 8.822925 0.661358 0.323517 0.000000 0.000000 0.000000 0.012506 0.000000 0.000000 0.000000 0.000000 0.002618 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
167 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 494.00 1414.00 -0.638272 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
168 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 547.00 1781.00 -0.602060 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
169 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(forg,)] [(duplex,)] 962.00 1174.00 -1.995679 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
170 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(forg,)] [(duplex,)] 681.00 777.00 -0.431798 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
171 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 305.00 545.00 -1.869666 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
172 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 323.00 562.00 -1.847712 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
173 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 366.00 558.00 -1.879426 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
174 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 358.00 573.00 -1.832683 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
175 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 356.00 414.00 -1.091515 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
176 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 364.00 552.00 -0.677781 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
177 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 367.00 522.00 -0.494850 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
178 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 462.00 580.00 -0.236572 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
179 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 620.00 697.00 -1.397940 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
180 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 715.00 770.00 -1.221849 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
181 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 600.00 680.00 -1.522879 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
182 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 460.00 505.00 -0.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
183 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 660.00 750.00 -1.823909 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
184 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 690.00 760.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
185 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 610.00 750.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
186 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 497.00 536.00 -2.408935 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
187 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 444.00 552.00 -1.085128 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
188 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 506.00 771.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
189 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(duplex,)] 470.00 515.00 -0.036684 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
190 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 528.00 735.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
191 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(duplex,)] 421.00 486.00 -0.123782 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
192 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 943.00 1700.00 -0.173925 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
193 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] [(lamellar,)] 356.00 420.00 -0.468521 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
194 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 640.00 1780.00 -0.124939 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
195 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] [(lamellar,)] 305.00 440.00 -0.080922 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
196 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 850.00 1870.00 -0.075721 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
197 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] [(lamellar,)] 395.00 465.00 -0.251812 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
198 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 940.00 1900.00 -0.136677 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
199 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] [(lamellar,)] 356.00 468.00 -0.142668 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
200 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 1032.00 2050.00 -0.070581 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
201 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] [(lamellar,)] 305.00 550.00 -0.022276 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
202 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 1348.00 2030.00 -0.026872 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
203 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 [(cast,)] [(lamellar,)] 402.00 600.00 -0.468521 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
204 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 615.00 1440.00 -0.193820 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
205 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 204.00 392.00 -0.366532 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
206 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(equaix,)] 1665.00 2526.00 -0.492144 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
207 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 [(cast,)] [(lamellar,)] 780.00 2080.00 -0.552842 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
208 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 [(cast,)] [(lamellar,)] 780.00 2014.00 -0.070581 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
209 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 680.00 1294.00 -0.468521 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
210 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 420.00 1024.00 -0.267606 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
211 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 [(cast,)] [(lamellar,)] 200.00 840.00 -0.173925 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
212 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 [(cast,)] [(lamellar,)] 920.00 2250.00 -0.552842 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 [(cast,)] [(lamellar,)] 980.00 1943.00 -0.468521 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 720.00 943.00 -0.443697 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(lamellar,)] 430.00 693.00 -0.327902 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 [(cast,)] [(lamellar,)] 250.00 492.00 -0.638272 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
217 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 1917.00 2150.00 -1.823909 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 1483.00 2088.00 -1.337242 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 2140.00 2643.00 -1.173925 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 1643.00 2567.00 -0.806875 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 1108.00 2687.00 -0.565431 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 1653.00 2514.00 -0.978811 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 1342.00 2274.00 -0.906578 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 909.00 3106.00 -0.497573 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 1112.00 2321.00 -0.694649 26.270307 0.451694 0.309623 0.000000 0.238683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 395.00 550.00 -2.096910 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 309.00 400.00 -1.431798 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 310.00 560.00 -1.978811 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 300.00 500.00 -1.283997 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 359.00 540.00 -2.000000 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 305.00 470.00 -1.332547 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 881.00 1113.00 -1.619789 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(cast,)] [(lamellar,)] 745.00 1070.00 -0.869666 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(cast,)] [(lamellar,)] 570.00 860.00 -0.468521 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 1100.00 1500.00 -1.301030 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 1500.00 1800.00 -0.721246 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 1520.00 2250.00 -0.602060 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 1560.00 2500.00 -0.508638 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] [(lamellar,)] 1020.00 1500.00 -0.275724 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 150.00 313.63 -2.096910 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 191.74 392.67 -1.557520 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 371.85 426.88 -1.485452 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] [(lamellar,)] 224.61 353.31 -1.165579 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 440.43 527.77 -1.465974 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] [(lamellar,)] 341.45 430.78 -1.124939 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 543.55 672.33 -1.295849 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] [(lamellar,)] 506.31 625.22 -1.143271 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 607.35 730.09 -1.371611 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] [(lamellar,)] 486.25 607.78 -1.101275 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 353.31 464.61 -1.571865 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] [(lamellar,)] 385.97 468.56 -1.244888 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 524.56 632.83 -1.496209 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] [(lamellar,)] 508.36 620.53 -1.128427 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 586.21 690.42 -1.468521 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 [(sinter,)] [(lamellar,)] 536.24 645.41 -1.153045 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 480.00 520.00 -2.045757 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] [(lamellar,)] 475.00 520.00 -1.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(duplex,)] 490.00 530.00 -2.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] [(duplex,)] 500.00 600.00 -0.346787 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 600.00 650.00 -1.886057 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] [(lamellar,)] 500.00 640.00 -0.318759 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(equaix,)] 650.00 710.00 -1.744727 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] [(equaix,)] 520.00 650.00 -0.356547 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(sinter,)] [(lamellar,)] 480.00 500.00 -1.823909 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 [(sinter,)] [(lamellar,)] 500.00 625.00 -0.376751 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 312.00 570.00 -2.318759 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 360.00 584.00 -2.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 395.00 453.00 -2.522879 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 445.00 640.00 -2.187087 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 100.00 150.00 -2.119186 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 102.00 200.00 -2.167491 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 104.00 240.00 -2.055517 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 149.00 300.00 -2.036212 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(lamellar,)] 190.00 373.00 -1.838632 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(cast,)] [(duplex,)] 204.00 506.00 -1.578396 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 [(cast,)] [(duplex,)] 302.00 520.00 -1.438899 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 [(cast,)] [(lamellar,)] 460.00 604.00 -1.249492 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 [(cast,)] [(lamellar,)] 503.00 780.00 -1.465974 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 [(cast,)] [(duplex,)] 705.00 1039.00 -1.060481 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 [(sinter,)] [(lamellar,)] 503.00 805.00 -1.026872 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 [(sinter,)] [(duplex,)] 704.00 935.00 -0.978811 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 [(cast,)] [(duplex,)] 893.00 1034.00 -0.939302 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 [(sinter,)] [(lamellar,)] 935.00 1235.00 -0.903090 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348

2.14 Categorical Variables Processing (Punctuations Removal After Tokenising and Stemming)

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Once the simplified tokenised text words have been returned to the respective categorical columns (Synthesis Methods and Microstructure) as a list, the next step would be to convert the text words list in both columns back to a string as there are some punctuations in the lists and they cannot be removed while the words are in a list format. Therefore, the "".join(map(str, )) method was used to map the text list into a string for all text words in the list for both columns.

Once that has been done, it is now possible to remove the punctuations by applying the remove_punctuations function defined earlier to remove the punctuations in all the string text words in both columns. The next 4 cells below illustrates how the text list for both columns were converted into strings with punctuations removal.

In [17]:
# Convert the returned list of tokenised words back to a string format for the synthesis methods column

TiAl_Input_drop["Synthesis Methods"] = ["".join(map(str, a)) for a in TiAl_Input_drop["Synthesis Methods"]]

TiAl_Input_drop
Out[17]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg) Ti(wt%) Al(wt%) Mn(wt%) Nb(wt%) Cr(wt%) Mo(wt%) V(wt%) Zr(wt%) Hf(wt%) Ta(wt%) Si(wt%) W(wt%) C(wt%) B(wt%) Fe(wt%) Ru(wt%) Re(wt%) Ni(wt%) O(wt%) Y(wt%) TiB2(wt%)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 495.00 675.00 -1.638272 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 ('cast',) [(lamellar,)] 502.00 690.00 -1.251812 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('cast',) [(lamellar,)] 450.00 587.00 -1.455932 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 550.00 679.00 -1.568636 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('cast',) [(lamellar,)] 350.00 596.00 -1.508638 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 405.00 568.00 -1.244125 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 ('cast',) [(lamellar,)] 604.00 790.00 -1.920819 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 ('cast',) [(lamellar,)] 450.00 687.00 -1.769551 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 ('cast',) [(lamellar,)] 570.00 695.00 -1.823909 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 ('cast',) [(lamellar,)] 440.00 650.00 -1.244125 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 ('cast',) [(lamellar,)] 415.00 510.00 -0.721246 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 ('cast',) [(lamellar,)] 402.00 482.00 -1.823909 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 ('cast',) [(lamellar,)] 344.00 458.00 -1.102373 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 425.00 520.00 -2.000000 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 ('cast',) [(duplex,)] 350.00 460.00 -1.602060 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('extrud',) [(lamellar,)] 648.00 717.00 -1.795880 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 ('extrud',) [(lamellar,)] 517.00 692.00 -1.267606 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('forg',) [(duplex,)] 462.00 579.00 -1.552842 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('forg',) [(duplex,)] 345.00 468.00 -0.397940 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('forg',) [(lamellar,)] 473.00 557.00 -1.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('forg',) [(lamellar,)] 375.00 509.00 -1.494850 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 ('forg',) [(lamellar,)] 362.00 485.00 -0.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 ('forg',) [(duplex,)] 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 ('forg',) [(duplex,)] 360.00 450.00 -1.376751 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 ('forg',) [(duplex,)] 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 ('forg',) [(duplex,)] 345.00 476.00 -1.193820 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 ('forg',) [(duplex,)] 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 ('cast',) [(duplex,)] 490.00 567.00 -0.939302 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('forg',) [(duplex,)] 480.00 548.00 -1.638272 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 ('forg',) [(duplex,)] 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('forg',) [(duplex,)] 324.00 492.00 -0.259637 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('forg',) [(lamellar,)] 330.00 383.00 -2.096910 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('forg',) [(lamellar,)] 290.00 378.00 -1.823909 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 465.00 566.00 -1.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('sinter',) [(lamellar,)] 370.00 540.00 -0.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 ('cast',) [(duplex,)] 310.00 430.00 -1.193820 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('extrud',) [(duplex,)] 480.00 679.00 -1.508638 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 ('extrud',) [(duplex,)] 403.00 563.00 -0.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 ('extrud',) [(duplex,)] 330.00 475.00 -0.275724 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('extrud',) [(lamellar,)] 454.00 596.00 -2.301030 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 ('extrud',) [(lamellar,)] 405.00 508.00 -1.522879 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 ('extrud',) [(lamellar,)] 350.00 589.00 -0.721246 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
44 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 ('sinter',) [(lamellar,)] 421.00 581.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
45 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 429.00 516.00 -1.853872 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
46 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 ('cast',) [(lamellar,)] 286.00 428.00 -0.876148 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
47 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 ('cast',) [(lamellar,)] 368.00 531.00 -0.632644 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
48 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 430.00 515.00 -2.000000 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
49 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(duplex,)] 363.00 495.00 -0.632644 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
50 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 ('cast',) [(duplex,)] 334.00 403.00 -0.835647 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
51 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 ('cast',) [(duplex,)] 326.00 422.00 -1.769551 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
52 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('cast',) [(duplex,)] 284.00 474.00 -1.292430 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
53 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 ('cast',) [(duplex,)] 458.00 536.00 -1.847712 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
54 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('cast',) [(duplex,)] 355.00 539.00 -1.468521 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
55 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 563.00 685.00 -1.017729 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
56 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 ('cast',) [(duplex,)] 703.00 943.00 -1.283997 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
57 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(duplex,)] 486.00 604.00 -1.124939 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
58 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 ('cast',) [(duplex,)] 342.00 459.00 -1.075721 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
59 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(duplex,)] 263.00 432.00 -1.677781 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
60 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 ('cast',) [(duplex,)] 504.00 599.00 -2.050610 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
61 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('cast',) [(duplex,)] 413.00 571.00 -1.705534 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
62 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 ('cast',) [(duplex,)] 528.00 589.00 -2.236572 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
63 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('cast',) [(duplex,)] 440.00 532.00 -1.970616 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
64 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 ('cast',) [(duplex,)] 422.00 482.00 -1.995679 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
65 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('cast',) [(duplex,)] 359.00 524.00 -1.437707 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
66 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 ('forg',) [(duplex,)] 417.00 547.00 -1.950782 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
67 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('forg',) [(lamellar,)] 331.00 587.00 -1.405607 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
68 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 ('extrud',) [(duplex,)] 947.00 1070.00 -1.812479 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
69 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('extrud',) [(lamellar,)] 775.00 1015.00 -1.856985 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
70 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 ('extrud',) [(lamellar,)] 637.00 875.00 -3.000000 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
71 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('extrud',) [(lamellar,)] 810.00 964.00 -2.050610 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
72 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('extrud',) [(lamellar,)] 892.00 1092.00 -1.031517 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
73 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 450.00 622.00 -0.966576 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
74 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 624.00 662.00 -2.397940 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
75 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 364.00 554.00 -1.283997 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
76 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 686.00 713.00 -2.397940 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
77 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 676.00 696.00 -2.522879 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
78 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 632.00 706.00 -2.154902 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
79 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 686.00 698.00 -2.698970 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
80 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 671.00 750.00 -2.096910 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
81 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 710.00 756.00 -2.522879 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
82 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 643.00 687.00 -2.397940 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
83 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 617.00 690.00 -2.096910 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
84 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 733.00 817.00 -1.769551 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
85 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 644.00 705.00 -2.301030 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
86 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 732.00 755.00 -2.221849 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
87 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 616.00 669.00 -2.397940 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
88 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 672.00 764.00 -1.958607 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
89 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 ('forg',) [(duplex,)] 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
90 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 ('forg',) [(duplex,)] 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
91 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 ('cast',) [(duplex,)] 490.00 689.00 -1.080922 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
92 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 ('forg',) [(duplex,)] 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
93 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 ('forg',) [(duplex,)] 360.00 450.00 0.857332 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
94 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
95 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 ('cast',) [(duplex,)] 310.00 430.00 -1.013228 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
96 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('extrud',) [(duplex,)] 467.00 640.00 -1.744727 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
97 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 ('extrud',) [(duplex,)] 404.00 630.00 -0.667562 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
98 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 ('extrud',) [(duplex,)] 340.00 560.00 -0.443697 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
99 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
100 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 ('sinter',) [(lamellar,)] 421.00 551.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
101 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('forg',) [(duplex,)] 405.00 465.50 -1.809668 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
102 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 ('forg',) [(duplex,)] 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
103 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('forg',) [(duplex,)] 307.00 435.00 -0.548982 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
104 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 462.00 520.00 -2.221849 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
105 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(duplex,)] 364.00 424.00 -0.397940 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
106 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(duplex,)] 799.00 799.00 -1.207608 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
107 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 773.00 885.00 -2.236572 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
108 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 763.00 911.00 -2.086186 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
109 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 806.00 981.00 -2.045757 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
110 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 724.00 775.00 -2.522879 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
111 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 578.00 670.00 -2.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
112 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('cast',) [(lamellar,)] 479.00 645.00 -1.124939 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
113 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('forg',) [(lamellar,)] 753.00 975.00 -1.823909 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
114 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('forg',) [(lamellar,)] 790.00 950.00 -0.602060 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
115 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('forg',) [(duplex,)] 689.00 820.00 -1.619789 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
116 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('forg',) [(duplex,)] 579.00 770.00 -0.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
117 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('forg',) [(lamellar,)] 624.00 860.00 -1.920819 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
118 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('forg',) [(lamellar,)] 689.00 830.00 -0.508638 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
119 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 ('cast',) [(lamellar,)] 503.00 705.00 -0.638272 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
120 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 ('cast',) [(lamellar,)] 595.00 795.00 -0.920819 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
121 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 607.00 895.00 -1.376751 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
122 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 693.00 913.00 -0.769551 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
123 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 532.00 774.00 -2.055517 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
124 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 689.00 787.00 -2.356547 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
125 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 745.00 963.00 -2.823909 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
126 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 674.00 874.00 -2.107905 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
127 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 631.00 867.00 -2.251812 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
128 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 468.00 550.00 -2.522879 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
129 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 421.00 620.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
130 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 584.00 730.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
131 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 567.00 650.00 -2.221849 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
132 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 342.00 560.00 -2.698970 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
133 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 457.00 560.00 -2.522879 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
134 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 479.00 580.00 -2.397940 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
135 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 424.00 600.00 -2.221849 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
136 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 423.00 650.00 -2.346787 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
137 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 ('cast',) [(lamellar,)] 465.00 680.00 -1.096910 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
138 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('cast',) [(lamellar,)] 423.00 660.00 -1.000000 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
139 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 413.00 660.00 -0.920819 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
140 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 ('cast',) [(lamellar,)] 363.00 520.00 -0.397940 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
141 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 ('cast',) [(lamellar,)] 467.00 526.00 -0.494850 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
142 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 754.00 930.00 -2.070581 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
143 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 ('cast',) [(lamellar,)] 745.00 890.00 -0.602060 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
144 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('cast',) [(lamellar,)] 721.00 900.00 -0.154902 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
145 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 497.00 500.00 0.008600 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
146 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 ('cast',) [(lamellar,)] 345.00 480.00 0.217484 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
147 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 579.00 780.00 0.120574 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
148 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 524.00 736.50 0.089905 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
149 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 364.00 546.00 0.214844 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
150 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 579.00 776.00 -0.267606 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
151 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 352.00 494.00 -0.327902 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
152 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 503.00 780.00 -0.200659 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
153 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 463.00 633.00 -0.468521 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
154 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 683.00 803.00 -0.769551 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
155 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 503.00 705.00 -0.552842 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
156 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 604.00 806.00 -0.366532 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
157 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 595.00 754.00 -0.431798 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
158 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 640.00 896.00 -0.376751 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
159 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 395.00 596.00 -0.638272 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
160 54.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 406.00 629.00 -0.677781 801.897799 0.638530 0.286572 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.074898 0.000000 0.000000 0.000000 0.000000 0.000000
161 52.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 395.00 539.00 -0.508638 1296.813694 0.599134 0.279234 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.121632 0.000000 0.000000 0.000000 0.000000 0.000000
162 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 ('cast',) [(lamellar,)] 425.00 511.00 -2.301030 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
163 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 ('cast',) [(lamellar,)] 340.00 426.00 -1.244125 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
164 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 300.00 500.00 -1.522879 107.774260 0.653669 0.319756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002588 0.000000 0.000000 0.000000 0.000000 0.000000 0.023988 0.000000 0.000000 0.000000 0.000000
165 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 405.00 680.00 -0.698970 9.063445 0.653868 0.319853 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002589 0.023690 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
166 53.000 46.0 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 305.00 580.00 -0.698970 8.822925 0.661358 0.323517 0.000000 0.000000 0.000000 0.012506 0.000000 0.000000 0.000000 0.000000 0.002618 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
167 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 494.00 1414.00 -0.638272 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
168 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 547.00 1781.00 -0.602060 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
169 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('forg',) [(duplex,)] 962.00 1174.00 -1.995679 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
170 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('forg',) [(duplex,)] 681.00 777.00 -0.431798 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
171 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 305.00 545.00 -1.869666 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
172 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 323.00 562.00 -1.847712 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
173 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 366.00 558.00 -1.879426 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
174 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 358.00 573.00 -1.832683 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
175 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 356.00 414.00 -1.091515 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
176 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 364.00 552.00 -0.677781 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
177 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 367.00 522.00 -0.494850 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
178 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 462.00 580.00 -0.236572 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
179 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 620.00 697.00 -1.397940 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
180 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 715.00 770.00 -1.221849 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
181 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 600.00 680.00 -1.522879 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
182 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 460.00 505.00 -0.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
183 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 660.00 750.00 -1.823909 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
184 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 690.00 760.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
185 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 610.00 750.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
186 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 497.00 536.00 -2.408935 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
187 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 444.00 552.00 -1.085128 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
188 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 506.00 771.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
189 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(duplex,)] 470.00 515.00 -0.036684 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
190 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 528.00 735.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
191 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(duplex,)] 421.00 486.00 -0.123782 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
192 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 943.00 1700.00 -0.173925 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
193 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('cast',) [(lamellar,)] 356.00 420.00 -0.468521 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
194 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 640.00 1780.00 -0.124939 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
195 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('cast',) [(lamellar,)] 305.00 440.00 -0.080922 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
196 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 850.00 1870.00 -0.075721 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
197 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('cast',) [(lamellar,)] 395.00 465.00 -0.251812 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
198 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 940.00 1900.00 -0.136677 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
199 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('cast',) [(lamellar,)] 356.00 468.00 -0.142668 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
200 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 1032.00 2050.00 -0.070581 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
201 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('cast',) [(lamellar,)] 305.00 550.00 -0.022276 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
202 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 1348.00 2030.00 -0.026872 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
203 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 ('cast',) [(lamellar,)] 402.00 600.00 -0.468521 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
204 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 615.00 1440.00 -0.193820 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
205 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 204.00 392.00 -0.366532 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
206 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(equaix,)] 1665.00 2526.00 -0.492144 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
207 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 ('cast',) [(lamellar,)] 780.00 2080.00 -0.552842 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
208 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 ('cast',) [(lamellar,)] 780.00 2014.00 -0.070581 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
209 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 680.00 1294.00 -0.468521 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
210 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 420.00 1024.00 -0.267606 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
211 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 ('cast',) [(lamellar,)] 200.00 840.00 -0.173925 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
212 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 ('cast',) [(lamellar,)] 920.00 2250.00 -0.552842 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 ('cast',) [(lamellar,)] 980.00 1943.00 -0.468521 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 720.00 943.00 -0.443697 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(lamellar,)] 430.00 693.00 -0.327902 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 ('cast',) [(lamellar,)] 250.00 492.00 -0.638272 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
217 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 1917.00 2150.00 -1.823909 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 1483.00 2088.00 -1.337242 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 2140.00 2643.00 -1.173925 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 1643.00 2567.00 -0.806875 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 1108.00 2687.00 -0.565431 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 1653.00 2514.00 -0.978811 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 1342.00 2274.00 -0.906578 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 909.00 3106.00 -0.497573 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 1112.00 2321.00 -0.694649 26.270307 0.451694 0.309623 0.000000 0.238683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 395.00 550.00 -2.096910 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 309.00 400.00 -1.431798 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 310.00 560.00 -1.978811 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 300.00 500.00 -1.283997 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 359.00 540.00 -2.000000 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 305.00 470.00 -1.332547 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 881.00 1113.00 -1.619789 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 ('cast',) [(lamellar,)] 745.00 1070.00 -0.869666 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('cast',) [(lamellar,)] 570.00 860.00 -0.468521 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 1100.00 1500.00 -1.301030 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 1500.00 1800.00 -0.721246 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 1520.00 2250.00 -0.602060 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 1560.00 2500.00 -0.508638 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('sinter',) [(lamellar,)] 1020.00 1500.00 -0.275724 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 150.00 313.63 -2.096910 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 191.74 392.67 -1.557520 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 371.85 426.88 -1.485452 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('sinter',) [(lamellar,)] 224.61 353.31 -1.165579 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 440.43 527.77 -1.465974 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('sinter',) [(lamellar,)] 341.45 430.78 -1.124939 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 543.55 672.33 -1.295849 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('sinter',) [(lamellar,)] 506.31 625.22 -1.143271 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 607.35 730.09 -1.371611 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('sinter',) [(lamellar,)] 486.25 607.78 -1.101275 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 353.31 464.61 -1.571865 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('sinter',) [(lamellar,)] 385.97 468.56 -1.244888 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 524.56 632.83 -1.496209 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('sinter',) [(lamellar,)] 508.36 620.53 -1.128427 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 586.21 690.42 -1.468521 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 ('sinter',) [(lamellar,)] 536.24 645.41 -1.153045 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 480.00 520.00 -2.045757 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('sinter',) [(lamellar,)] 475.00 520.00 -1.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(duplex,)] 490.00 530.00 -2.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('sinter',) [(duplex,)] 500.00 600.00 -0.346787 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 600.00 650.00 -1.886057 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('sinter',) [(lamellar,)] 500.00 640.00 -0.318759 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(equaix,)] 650.00 710.00 -1.744727 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('sinter',) [(equaix,)] 520.00 650.00 -0.356547 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('sinter',) [(lamellar,)] 480.00 500.00 -1.823909 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 ('sinter',) [(lamellar,)] 500.00 625.00 -0.376751 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 312.00 570.00 -2.318759 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 360.00 584.00 -2.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 395.00 453.00 -2.522879 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 445.00 640.00 -2.187087 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 100.00 150.00 -2.119186 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 102.00 200.00 -2.167491 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 104.00 240.00 -2.055517 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 149.00 300.00 -2.036212 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(lamellar,)] 190.00 373.00 -1.838632 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 ('cast',) [(duplex,)] 204.00 506.00 -1.578396 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 ('cast',) [(duplex,)] 302.00 520.00 -1.438899 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 ('cast',) [(lamellar,)] 460.00 604.00 -1.249492 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 ('cast',) [(lamellar,)] 503.00 780.00 -1.465974 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 ('cast',) [(duplex,)] 705.00 1039.00 -1.060481 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 ('sinter',) [(lamellar,)] 503.00 805.00 -1.026872 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 ('sinter',) [(duplex,)] 704.00 935.00 -0.978811 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 ('cast',) [(duplex,)] 893.00 1034.00 -0.939302 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 ('sinter',) [(lamellar,)] 935.00 1235.00 -0.903090 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
In [18]:
# Remove the punctuations from the string formatted tokenised words for the synthesis methods column

TiAl_Input_drop["Synthesis Methods"] = TiAl_Input_drop["Synthesis Methods"].apply(remove_punctuations)

TiAl_Input_drop
Out[18]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg) Ti(wt%) Al(wt%) Mn(wt%) Nb(wt%) Cr(wt%) Mo(wt%) V(wt%) Zr(wt%) Hf(wt%) Ta(wt%) Si(wt%) W(wt%) C(wt%) B(wt%) Fe(wt%) Ru(wt%) Re(wt%) Ni(wt%) O(wt%) Y(wt%) TiB2(wt%)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 495.00 675.00 -1.638272 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 cast [(lamellar,)] 502.00 690.00 -1.251812 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast [(lamellar,)] 450.00 587.00 -1.455932 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 550.00 679.00 -1.568636 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast [(lamellar,)] 350.00 596.00 -1.508638 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 405.00 568.00 -1.244125 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast [(lamellar,)] 604.00 790.00 -1.920819 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 cast [(lamellar,)] 450.00 687.00 -1.769551 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 cast [(lamellar,)] 570.00 695.00 -1.823909 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 cast [(lamellar,)] 440.00 650.00 -1.244125 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 cast [(lamellar,)] 415.00 510.00 -0.721246 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 cast [(lamellar,)] 402.00 482.00 -1.823909 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 cast [(lamellar,)] 344.00 458.00 -1.102373 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 425.00 520.00 -2.000000 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast [(duplex,)] 350.00 460.00 -1.602060 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud [(lamellar,)] 648.00 717.00 -1.795880 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud [(lamellar,)] 517.00 692.00 -1.267606 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg [(duplex,)] 462.00 579.00 -1.552842 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg [(duplex,)] 345.00 468.00 -0.397940 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg [(lamellar,)] 473.00 557.00 -1.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg [(lamellar,)] 375.00 509.00 -1.494850 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 forg [(lamellar,)] 362.00 485.00 -0.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forg [(duplex,)] 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forg [(duplex,)] 360.00 450.00 -1.376751 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forg [(duplex,)] 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 forg [(duplex,)] 345.00 476.00 -1.193820 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forg [(duplex,)] 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 cast [(duplex,)] 490.00 567.00 -0.939302 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg [(duplex,)] 480.00 548.00 -1.638272 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forg [(duplex,)] 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg [(duplex,)] 324.00 492.00 -0.259637 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg [(lamellar,)] 330.00 383.00 -2.096910 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg [(lamellar,)] 290.00 378.00 -1.823909 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 465.00 566.00 -1.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter [(lamellar,)] 370.00 540.00 -0.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast [(duplex,)] 310.00 430.00 -1.193820 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud [(duplex,)] 480.00 679.00 -1.508638 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud [(duplex,)] 403.00 563.00 -0.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extrud [(duplex,)] 330.00 475.00 -0.275724 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud [(lamellar,)] 454.00 596.00 -2.301030 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud [(lamellar,)] 405.00 508.00 -1.522879 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extrud [(lamellar,)] 350.00 589.00 -0.721246 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
44 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sinter [(lamellar,)] 421.00 581.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
45 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 429.00 516.00 -1.853872 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
46 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast [(lamellar,)] 286.00 428.00 -0.876148 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
47 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 cast [(lamellar,)] 368.00 531.00 -0.632644 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
48 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 430.00 515.00 -2.000000 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
49 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(duplex,)] 363.00 495.00 -0.632644 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
50 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 cast [(duplex,)] 334.00 403.00 -0.835647 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
51 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast [(duplex,)] 326.00 422.00 -1.769551 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
52 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast [(duplex,)] 284.00 474.00 -1.292430 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
53 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast [(duplex,)] 458.00 536.00 -1.847712 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
54 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast [(duplex,)] 355.00 539.00 -1.468521 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
55 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 563.00 685.00 -1.017729 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
56 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast [(duplex,)] 703.00 943.00 -1.283997 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
57 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(duplex,)] 486.00 604.00 -1.124939 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
58 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast [(duplex,)] 342.00 459.00 -1.075721 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
59 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast [(duplex,)] 263.00 432.00 -1.677781 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
60 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast [(duplex,)] 504.00 599.00 -2.050610 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
61 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast [(duplex,)] 413.00 571.00 -1.705534 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
62 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast [(duplex,)] 528.00 589.00 -2.236572 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
63 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast [(duplex,)] 440.00 532.00 -1.970616 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
64 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast [(duplex,)] 422.00 482.00 -1.995679 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
65 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast [(duplex,)] 359.00 524.00 -1.437707 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
66 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 forg [(duplex,)] 417.00 547.00 -1.950782 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
67 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 forg [(lamellar,)] 331.00 587.00 -1.405607 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
68 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extrud [(duplex,)] 947.00 1070.00 -1.812479 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
69 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extrud [(lamellar,)] 775.00 1015.00 -1.856985 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
70 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extrud [(lamellar,)] 637.00 875.00 -3.000000 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
71 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extrud [(lamellar,)] 810.00 964.00 -2.050610 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
72 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud [(lamellar,)] 892.00 1092.00 -1.031517 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
73 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 450.00 622.00 -0.966576 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
74 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 624.00 662.00 -2.397940 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
75 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 364.00 554.00 -1.283997 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
76 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 686.00 713.00 -2.397940 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
77 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 676.00 696.00 -2.522879 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
78 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 632.00 706.00 -2.154902 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
79 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 686.00 698.00 -2.698970 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
80 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 671.00 750.00 -2.096910 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
81 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 710.00 756.00 -2.522879 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
82 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 643.00 687.00 -2.397940 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
83 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 617.00 690.00 -2.096910 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
84 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 733.00 817.00 -1.769551 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
85 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 644.00 705.00 -2.301030 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
86 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 732.00 755.00 -2.221849 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
87 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 616.00 669.00 -2.397940 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
88 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 672.00 764.00 -1.958607 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
89 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forg [(duplex,)] 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
90 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forg [(duplex,)] 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
91 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 cast [(duplex,)] 490.00 689.00 -1.080922 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
92 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forg [(duplex,)] 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
93 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forg [(duplex,)] 360.00 450.00 0.857332 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
94 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
95 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast [(duplex,)] 310.00 430.00 -1.013228 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
96 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud [(duplex,)] 467.00 640.00 -1.744727 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
97 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud [(duplex,)] 404.00 630.00 -0.667562 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
98 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extrud [(duplex,)] 340.00 560.00 -0.443697 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
99 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
100 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sinter [(lamellar,)] 421.00 551.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
101 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg [(duplex,)] 405.00 465.50 -1.809668 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
102 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forg [(duplex,)] 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
103 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg [(duplex,)] 307.00 435.00 -0.548982 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
104 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 462.00 520.00 -2.221849 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
105 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(duplex,)] 364.00 424.00 -0.397940 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
106 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(duplex,)] 799.00 799.00 -1.207608 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
107 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 773.00 885.00 -2.236572 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
108 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 763.00 911.00 -2.086186 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
109 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 806.00 981.00 -2.045757 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
110 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 724.00 775.00 -2.522879 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
111 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 578.00 670.00 -2.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
112 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast [(lamellar,)] 479.00 645.00 -1.124939 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
113 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg [(lamellar,)] 753.00 975.00 -1.823909 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
114 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forg [(lamellar,)] 790.00 950.00 -0.602060 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
115 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg [(duplex,)] 689.00 820.00 -1.619789 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
116 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forg [(duplex,)] 579.00 770.00 -0.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
117 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg [(lamellar,)] 624.00 860.00 -1.920819 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
118 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forg [(lamellar,)] 689.00 830.00 -0.508638 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
119 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 cast [(lamellar,)] 503.00 705.00 -0.638272 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
120 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 cast [(lamellar,)] 595.00 795.00 -0.920819 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
121 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 607.00 895.00 -1.376751 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
122 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 693.00 913.00 -0.769551 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
123 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 532.00 774.00 -2.055517 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
124 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 689.00 787.00 -2.356547 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
125 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 745.00 963.00 -2.823909 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
126 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 674.00 874.00 -2.107905 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
127 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 631.00 867.00 -2.251812 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
128 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 468.00 550.00 -2.522879 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
129 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 421.00 620.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
130 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 584.00 730.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
131 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 567.00 650.00 -2.221849 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
132 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 342.00 560.00 -2.698970 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
133 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 457.00 560.00 -2.522879 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
134 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 479.00 580.00 -2.397940 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
135 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 424.00 600.00 -2.221849 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
136 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 423.00 650.00 -2.346787 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
137 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast [(lamellar,)] 465.00 680.00 -1.096910 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
138 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast [(lamellar,)] 423.00 660.00 -1.000000 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
139 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 413.00 660.00 -0.920819 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
140 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast [(lamellar,)] 363.00 520.00 -0.397940 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
141 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast [(lamellar,)] 467.00 526.00 -0.494850 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
142 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 754.00 930.00 -2.070581 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
143 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast [(lamellar,)] 745.00 890.00 -0.602060 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
144 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast [(lamellar,)] 721.00 900.00 -0.154902 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
145 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 497.00 500.00 0.008600 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
146 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast [(lamellar,)] 345.00 480.00 0.217484 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
147 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 579.00 780.00 0.120574 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
148 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 524.00 736.50 0.089905 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
149 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 364.00 546.00 0.214844 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
150 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 579.00 776.00 -0.267606 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
151 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 352.00 494.00 -0.327902 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
152 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 503.00 780.00 -0.200659 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
153 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 463.00 633.00 -0.468521 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
154 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 683.00 803.00 -0.769551 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
155 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 503.00 705.00 -0.552842 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
156 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 604.00 806.00 -0.366532 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
157 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 595.00 754.00 -0.431798 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
158 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 640.00 896.00 -0.376751 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
159 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 395.00 596.00 -0.638272 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
160 54.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 406.00 629.00 -0.677781 801.897799 0.638530 0.286572 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.074898 0.000000 0.000000 0.000000 0.000000 0.000000
161 52.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 395.00 539.00 -0.508638 1296.813694 0.599134 0.279234 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.121632 0.000000 0.000000 0.000000 0.000000 0.000000
162 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 cast [(lamellar,)] 425.00 511.00 -2.301030 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
163 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 cast [(lamellar,)] 340.00 426.00 -1.244125 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
164 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 300.00 500.00 -1.522879 107.774260 0.653669 0.319756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002588 0.000000 0.000000 0.000000 0.000000 0.000000 0.023988 0.000000 0.000000 0.000000 0.000000
165 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 405.00 680.00 -0.698970 9.063445 0.653868 0.319853 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002589 0.023690 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
166 53.000 46.0 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 305.00 580.00 -0.698970 8.822925 0.661358 0.323517 0.000000 0.000000 0.000000 0.012506 0.000000 0.000000 0.000000 0.000000 0.002618 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
167 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 494.00 1414.00 -0.638272 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
168 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 547.00 1781.00 -0.602060 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
169 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg [(duplex,)] 962.00 1174.00 -1.995679 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
170 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg [(duplex,)] 681.00 777.00 -0.431798 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
171 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 305.00 545.00 -1.869666 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
172 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 323.00 562.00 -1.847712 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
173 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 366.00 558.00 -1.879426 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
174 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 358.00 573.00 -1.832683 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
175 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 356.00 414.00 -1.091515 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
176 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 364.00 552.00 -0.677781 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
177 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 367.00 522.00 -0.494850 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
178 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 462.00 580.00 -0.236572 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
179 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 620.00 697.00 -1.397940 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
180 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 715.00 770.00 -1.221849 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
181 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 600.00 680.00 -1.522879 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
182 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 460.00 505.00 -0.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
183 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 660.00 750.00 -1.823909 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
184 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 690.00 760.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
185 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 610.00 750.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
186 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 497.00 536.00 -2.408935 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
187 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 444.00 552.00 -1.085128 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
188 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 506.00 771.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
189 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(duplex,)] 470.00 515.00 -0.036684 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
190 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 528.00 735.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
191 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(duplex,)] 421.00 486.00 -0.123782 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
192 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 943.00 1700.00 -0.173925 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
193 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast [(lamellar,)] 356.00 420.00 -0.468521 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
194 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 640.00 1780.00 -0.124939 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
195 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast [(lamellar,)] 305.00 440.00 -0.080922 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
196 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 850.00 1870.00 -0.075721 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
197 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast [(lamellar,)] 395.00 465.00 -0.251812 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
198 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 940.00 1900.00 -0.136677 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
199 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast [(lamellar,)] 356.00 468.00 -0.142668 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
200 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 1032.00 2050.00 -0.070581 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
201 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast [(lamellar,)] 305.00 550.00 -0.022276 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
202 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 1348.00 2030.00 -0.026872 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
203 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast [(lamellar,)] 402.00 600.00 -0.468521 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
204 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 615.00 1440.00 -0.193820 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
205 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 204.00 392.00 -0.366532 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
206 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(equaix,)] 1665.00 2526.00 -0.492144 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
207 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 cast [(lamellar,)] 780.00 2080.00 -0.552842 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
208 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 cast [(lamellar,)] 780.00 2014.00 -0.070581 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
209 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 680.00 1294.00 -0.468521 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
210 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 420.00 1024.00 -0.267606 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
211 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 cast [(lamellar,)] 200.00 840.00 -0.173925 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
212 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 cast [(lamellar,)] 920.00 2250.00 -0.552842 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 cast [(lamellar,)] 980.00 1943.00 -0.468521 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 720.00 943.00 -0.443697 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast [(lamellar,)] 430.00 693.00 -0.327902 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 cast [(lamellar,)] 250.00 492.00 -0.638272 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
217 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 1917.00 2150.00 -1.823909 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 1483.00 2088.00 -1.337242 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 2140.00 2643.00 -1.173925 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 1643.00 2567.00 -0.806875 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 1108.00 2687.00 -0.565431 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 1653.00 2514.00 -0.978811 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 1342.00 2274.00 -0.906578 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 909.00 3106.00 -0.497573 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 1112.00 2321.00 -0.694649 26.270307 0.451694 0.309623 0.000000 0.238683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 395.00 550.00 -2.096910 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 309.00 400.00 -1.431798 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 310.00 560.00 -1.978811 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 300.00 500.00 -1.283997 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 359.00 540.00 -2.000000 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 305.00 470.00 -1.332547 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 881.00 1113.00 -1.619789 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast [(lamellar,)] 745.00 1070.00 -0.869666 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast [(lamellar,)] 570.00 860.00 -0.468521 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 1100.00 1500.00 -1.301030 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 1500.00 1800.00 -0.721246 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 1520.00 2250.00 -0.602060 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 1560.00 2500.00 -0.508638 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter [(lamellar,)] 1020.00 1500.00 -0.275724 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 150.00 313.63 -2.096910 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 191.74 392.67 -1.557520 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 371.85 426.88 -1.485452 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter [(lamellar,)] 224.61 353.31 -1.165579 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 440.43 527.77 -1.465974 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter [(lamellar,)] 341.45 430.78 -1.124939 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 543.55 672.33 -1.295849 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter [(lamellar,)] 506.31 625.22 -1.143271 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 607.35 730.09 -1.371611 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter [(lamellar,)] 486.25 607.78 -1.101275 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 353.31 464.61 -1.571865 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter [(lamellar,)] 385.97 468.56 -1.244888 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 524.56 632.83 -1.496209 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter [(lamellar,)] 508.36 620.53 -1.128427 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 586.21 690.42 -1.468521 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter [(lamellar,)] 536.24 645.41 -1.153045 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 480.00 520.00 -2.045757 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter [(lamellar,)] 475.00 520.00 -1.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(duplex,)] 490.00 530.00 -2.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter [(duplex,)] 500.00 600.00 -0.346787 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 600.00 650.00 -1.886057 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter [(lamellar,)] 500.00 640.00 -0.318759 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(equaix,)] 650.00 710.00 -1.744727 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter [(equaix,)] 520.00 650.00 -0.356547 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter [(lamellar,)] 480.00 500.00 -1.823909 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter [(lamellar,)] 500.00 625.00 -0.376751 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 312.00 570.00 -2.318759 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 360.00 584.00 -2.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 cast [(lamellar,)] 395.00 453.00 -2.522879 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 cast [(lamellar,)] 445.00 640.00 -2.187087 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 100.00 150.00 -2.119186 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 102.00 200.00 -2.167491 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 104.00 240.00 -2.055517 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 149.00 300.00 -2.036212 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(lamellar,)] 190.00 373.00 -1.838632 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast [(duplex,)] 204.00 506.00 -1.578396 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast [(duplex,)] 302.00 520.00 -1.438899 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 cast [(lamellar,)] 460.00 604.00 -1.249492 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 cast [(lamellar,)] 503.00 780.00 -1.465974 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast [(duplex,)] 705.00 1039.00 -1.060481 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 sinter [(lamellar,)] 503.00 805.00 -1.026872 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sinter [(duplex,)] 704.00 935.00 -0.978811 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 cast [(duplex,)] 893.00 1034.00 -0.939302 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 sinter [(lamellar,)] 935.00 1235.00 -0.903090 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
In [19]:
# Convert the returned list of tokenised words back to a string format for the microstructure column

TiAl_Input_drop["Microstructure"] = ["".join(map(str, a)) for a in TiAl_Input_drop["Microstructure"]]

TiAl_Input_drop
Out[19]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg) Ti(wt%) Al(wt%) Mn(wt%) Nb(wt%) Cr(wt%) Mo(wt%) V(wt%) Zr(wt%) Hf(wt%) Ta(wt%) Si(wt%) W(wt%) C(wt%) B(wt%) Fe(wt%) Ru(wt%) Re(wt%) Ni(wt%) O(wt%) Y(wt%) TiB2(wt%)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 495.00 675.00 -1.638272 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 cast ('lamellar',) 502.00 690.00 -1.251812 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast ('lamellar',) 450.00 587.00 -1.455932 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 550.00 679.00 -1.568636 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast ('lamellar',) 350.00 596.00 -1.508638 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 405.00 568.00 -1.244125 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast ('lamellar',) 604.00 790.00 -1.920819 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 cast ('lamellar',) 450.00 687.00 -1.769551 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 cast ('lamellar',) 570.00 695.00 -1.823909 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 cast ('lamellar',) 440.00 650.00 -1.244125 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 cast ('lamellar',) 415.00 510.00 -0.721246 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 cast ('lamellar',) 402.00 482.00 -1.823909 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 cast ('lamellar',) 344.00 458.00 -1.102373 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 425.00 520.00 -2.000000 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast ('duplex',) 350.00 460.00 -1.602060 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud ('lamellar',) 648.00 717.00 -1.795880 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud ('lamellar',) 517.00 692.00 -1.267606 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg ('duplex',) 462.00 579.00 -1.552842 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg ('duplex',) 345.00 468.00 -0.397940 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg ('lamellar',) 473.00 557.00 -1.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg ('lamellar',) 375.00 509.00 -1.494850 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 forg ('lamellar',) 362.00 485.00 -0.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forg ('duplex',) 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forg ('duplex',) 360.00 450.00 -1.376751 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forg ('duplex',) 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 forg ('duplex',) 345.00 476.00 -1.193820 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forg ('duplex',) 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 cast ('duplex',) 490.00 567.00 -0.939302 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg ('duplex',) 480.00 548.00 -1.638272 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forg ('duplex',) 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg ('duplex',) 324.00 492.00 -0.259637 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg ('lamellar',) 330.00 383.00 -2.096910 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg ('lamellar',) 290.00 378.00 -1.823909 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 465.00 566.00 -1.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter ('lamellar',) 370.00 540.00 -0.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast ('duplex',) 310.00 430.00 -1.193820 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud ('duplex',) 480.00 679.00 -1.508638 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud ('duplex',) 403.00 563.00 -0.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extrud ('duplex',) 330.00 475.00 -0.275724 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud ('lamellar',) 454.00 596.00 -2.301030 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud ('lamellar',) 405.00 508.00 -1.522879 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extrud ('lamellar',) 350.00 589.00 -0.721246 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
44 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sinter ('lamellar',) 421.00 581.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
45 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 429.00 516.00 -1.853872 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
46 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast ('lamellar',) 286.00 428.00 -0.876148 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
47 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 cast ('lamellar',) 368.00 531.00 -0.632644 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
48 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 430.00 515.00 -2.000000 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
49 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('duplex',) 363.00 495.00 -0.632644 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
50 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 cast ('duplex',) 334.00 403.00 -0.835647 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
51 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast ('duplex',) 326.00 422.00 -1.769551 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
52 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast ('duplex',) 284.00 474.00 -1.292430 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
53 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast ('duplex',) 458.00 536.00 -1.847712 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
54 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast ('duplex',) 355.00 539.00 -1.468521 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
55 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 563.00 685.00 -1.017729 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
56 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast ('duplex',) 703.00 943.00 -1.283997 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
57 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('duplex',) 486.00 604.00 -1.124939 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
58 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast ('duplex',) 342.00 459.00 -1.075721 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
59 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast ('duplex',) 263.00 432.00 -1.677781 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
60 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast ('duplex',) 504.00 599.00 -2.050610 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
61 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast ('duplex',) 413.00 571.00 -1.705534 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
62 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast ('duplex',) 528.00 589.00 -2.236572 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
63 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast ('duplex',) 440.00 532.00 -1.970616 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
64 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast ('duplex',) 422.00 482.00 -1.995679 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
65 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast ('duplex',) 359.00 524.00 -1.437707 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
66 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 forg ('duplex',) 417.00 547.00 -1.950782 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
67 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 forg ('lamellar',) 331.00 587.00 -1.405607 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
68 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extrud ('duplex',) 947.00 1070.00 -1.812479 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
69 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extrud ('lamellar',) 775.00 1015.00 -1.856985 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
70 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extrud ('lamellar',) 637.00 875.00 -3.000000 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
71 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extrud ('lamellar',) 810.00 964.00 -2.050610 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
72 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud ('lamellar',) 892.00 1092.00 -1.031517 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
73 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 450.00 622.00 -0.966576 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
74 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 624.00 662.00 -2.397940 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
75 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 364.00 554.00 -1.283997 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
76 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 686.00 713.00 -2.397940 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
77 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 676.00 696.00 -2.522879 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
78 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 632.00 706.00 -2.154902 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
79 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 686.00 698.00 -2.698970 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
80 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 671.00 750.00 -2.096910 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
81 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 710.00 756.00 -2.522879 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
82 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 643.00 687.00 -2.397940 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
83 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 617.00 690.00 -2.096910 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
84 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 733.00 817.00 -1.769551 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
85 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 644.00 705.00 -2.301030 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
86 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 732.00 755.00 -2.221849 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
87 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 616.00 669.00 -2.397940 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
88 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 672.00 764.00 -1.958607 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
89 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forg ('duplex',) 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
90 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forg ('duplex',) 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
91 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 cast ('duplex',) 490.00 689.00 -1.080922 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
92 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forg ('duplex',) 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
93 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forg ('duplex',) 360.00 450.00 0.857332 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
94 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
95 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast ('duplex',) 310.00 430.00 -1.013228 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
96 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud ('duplex',) 467.00 640.00 -1.744727 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
97 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud ('duplex',) 404.00 630.00 -0.667562 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
98 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extrud ('duplex',) 340.00 560.00 -0.443697 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
99 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
100 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sinter ('lamellar',) 421.00 551.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
101 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg ('duplex',) 405.00 465.50 -1.809668 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
102 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forg ('duplex',) 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
103 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg ('duplex',) 307.00 435.00 -0.548982 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
104 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 462.00 520.00 -2.221849 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
105 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('duplex',) 364.00 424.00 -0.397940 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
106 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('duplex',) 799.00 799.00 -1.207608 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
107 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 773.00 885.00 -2.236572 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
108 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 763.00 911.00 -2.086186 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
109 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 806.00 981.00 -2.045757 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
110 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 724.00 775.00 -2.522879 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
111 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 578.00 670.00 -2.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
112 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast ('lamellar',) 479.00 645.00 -1.124939 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
113 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg ('lamellar',) 753.00 975.00 -1.823909 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
114 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forg ('lamellar',) 790.00 950.00 -0.602060 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
115 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg ('duplex',) 689.00 820.00 -1.619789 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
116 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forg ('duplex',) 579.00 770.00 -0.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
117 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg ('lamellar',) 624.00 860.00 -1.920819 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
118 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forg ('lamellar',) 689.00 830.00 -0.508638 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
119 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 cast ('lamellar',) 503.00 705.00 -0.638272 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
120 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 cast ('lamellar',) 595.00 795.00 -0.920819 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
121 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 607.00 895.00 -1.376751 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
122 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 693.00 913.00 -0.769551 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
123 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 532.00 774.00 -2.055517 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
124 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 689.00 787.00 -2.356547 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
125 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 745.00 963.00 -2.823909 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
126 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 674.00 874.00 -2.107905 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
127 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 631.00 867.00 -2.251812 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
128 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 468.00 550.00 -2.522879 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
129 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 421.00 620.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
130 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 584.00 730.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
131 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 567.00 650.00 -2.221849 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
132 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 342.00 560.00 -2.698970 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
133 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 457.00 560.00 -2.522879 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
134 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 479.00 580.00 -2.397940 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
135 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 424.00 600.00 -2.221849 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
136 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 423.00 650.00 -2.346787 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
137 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast ('lamellar',) 465.00 680.00 -1.096910 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
138 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast ('lamellar',) 423.00 660.00 -1.000000 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
139 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 413.00 660.00 -0.920819 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
140 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast ('lamellar',) 363.00 520.00 -0.397940 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
141 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast ('lamellar',) 467.00 526.00 -0.494850 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
142 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 754.00 930.00 -2.070581 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
143 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast ('lamellar',) 745.00 890.00 -0.602060 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
144 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast ('lamellar',) 721.00 900.00 -0.154902 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
145 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 497.00 500.00 0.008600 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
146 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast ('lamellar',) 345.00 480.00 0.217484 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
147 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 579.00 780.00 0.120574 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
148 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 524.00 736.50 0.089905 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
149 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 364.00 546.00 0.214844 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
150 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 579.00 776.00 -0.267606 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
151 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 352.00 494.00 -0.327902 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
152 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 503.00 780.00 -0.200659 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
153 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 463.00 633.00 -0.468521 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
154 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 683.00 803.00 -0.769551 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
155 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 503.00 705.00 -0.552842 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
156 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 604.00 806.00 -0.366532 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
157 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 595.00 754.00 -0.431798 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
158 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 640.00 896.00 -0.376751 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
159 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 395.00 596.00 -0.638272 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
160 54.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 406.00 629.00 -0.677781 801.897799 0.638530 0.286572 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.074898 0.000000 0.000000 0.000000 0.000000 0.000000
161 52.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 395.00 539.00 -0.508638 1296.813694 0.599134 0.279234 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.121632 0.000000 0.000000 0.000000 0.000000 0.000000
162 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 cast ('lamellar',) 425.00 511.00 -2.301030 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
163 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 cast ('lamellar',) 340.00 426.00 -1.244125 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
164 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 300.00 500.00 -1.522879 107.774260 0.653669 0.319756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002588 0.000000 0.000000 0.000000 0.000000 0.000000 0.023988 0.000000 0.000000 0.000000 0.000000
165 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 405.00 680.00 -0.698970 9.063445 0.653868 0.319853 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002589 0.023690 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
166 53.000 46.0 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 305.00 580.00 -0.698970 8.822925 0.661358 0.323517 0.000000 0.000000 0.000000 0.012506 0.000000 0.000000 0.000000 0.000000 0.002618 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
167 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 494.00 1414.00 -0.638272 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
168 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 547.00 1781.00 -0.602060 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
169 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg ('duplex',) 962.00 1174.00 -1.995679 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
170 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg ('duplex',) 681.00 777.00 -0.431798 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
171 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 305.00 545.00 -1.869666 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
172 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 323.00 562.00 -1.847712 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
173 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 366.00 558.00 -1.879426 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
174 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 358.00 573.00 -1.832683 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
175 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 356.00 414.00 -1.091515 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
176 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 364.00 552.00 -0.677781 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
177 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 367.00 522.00 -0.494850 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
178 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 462.00 580.00 -0.236572 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
179 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 620.00 697.00 -1.397940 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
180 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 715.00 770.00 -1.221849 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
181 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 600.00 680.00 -1.522879 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
182 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 460.00 505.00 -0.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
183 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 660.00 750.00 -1.823909 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
184 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 690.00 760.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
185 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 610.00 750.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
186 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 497.00 536.00 -2.408935 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
187 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 444.00 552.00 -1.085128 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
188 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 506.00 771.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
189 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('duplex',) 470.00 515.00 -0.036684 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
190 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 528.00 735.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
191 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('duplex',) 421.00 486.00 -0.123782 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
192 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 943.00 1700.00 -0.173925 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
193 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast ('lamellar',) 356.00 420.00 -0.468521 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
194 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 640.00 1780.00 -0.124939 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
195 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast ('lamellar',) 305.00 440.00 -0.080922 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
196 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 850.00 1870.00 -0.075721 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
197 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast ('lamellar',) 395.00 465.00 -0.251812 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
198 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 940.00 1900.00 -0.136677 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
199 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast ('lamellar',) 356.00 468.00 -0.142668 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
200 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 1032.00 2050.00 -0.070581 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
201 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast ('lamellar',) 305.00 550.00 -0.022276 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
202 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 1348.00 2030.00 -0.026872 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
203 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast ('lamellar',) 402.00 600.00 -0.468521 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
204 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 615.00 1440.00 -0.193820 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
205 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 204.00 392.00 -0.366532 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
206 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('equaix',) 1665.00 2526.00 -0.492144 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
207 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 cast ('lamellar',) 780.00 2080.00 -0.552842 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
208 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 cast ('lamellar',) 780.00 2014.00 -0.070581 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
209 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 680.00 1294.00 -0.468521 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
210 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 420.00 1024.00 -0.267606 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
211 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 cast ('lamellar',) 200.00 840.00 -0.173925 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
212 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 cast ('lamellar',) 920.00 2250.00 -0.552842 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 cast ('lamellar',) 980.00 1943.00 -0.468521 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 720.00 943.00 -0.443697 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast ('lamellar',) 430.00 693.00 -0.327902 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 cast ('lamellar',) 250.00 492.00 -0.638272 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
217 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 1917.00 2150.00 -1.823909 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 1483.00 2088.00 -1.337242 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 2140.00 2643.00 -1.173925 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 1643.00 2567.00 -0.806875 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 1108.00 2687.00 -0.565431 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 1653.00 2514.00 -0.978811 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 1342.00 2274.00 -0.906578 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 909.00 3106.00 -0.497573 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 1112.00 2321.00 -0.694649 26.270307 0.451694 0.309623 0.000000 0.238683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 395.00 550.00 -2.096910 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 309.00 400.00 -1.431798 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 310.00 560.00 -1.978811 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 300.00 500.00 -1.283997 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 359.00 540.00 -2.000000 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 305.00 470.00 -1.332547 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 881.00 1113.00 -1.619789 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast ('lamellar',) 745.00 1070.00 -0.869666 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast ('lamellar',) 570.00 860.00 -0.468521 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 1100.00 1500.00 -1.301030 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 1500.00 1800.00 -0.721246 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 1520.00 2250.00 -0.602060 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 1560.00 2500.00 -0.508638 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter ('lamellar',) 1020.00 1500.00 -0.275724 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 150.00 313.63 -2.096910 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 191.74 392.67 -1.557520 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 371.85 426.88 -1.485452 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter ('lamellar',) 224.61 353.31 -1.165579 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 440.43 527.77 -1.465974 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter ('lamellar',) 341.45 430.78 -1.124939 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 543.55 672.33 -1.295849 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter ('lamellar',) 506.31 625.22 -1.143271 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 607.35 730.09 -1.371611 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter ('lamellar',) 486.25 607.78 -1.101275 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 353.31 464.61 -1.571865 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter ('lamellar',) 385.97 468.56 -1.244888 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 524.56 632.83 -1.496209 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter ('lamellar',) 508.36 620.53 -1.128427 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 586.21 690.42 -1.468521 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter ('lamellar',) 536.24 645.41 -1.153045 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 480.00 520.00 -2.045757 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter ('lamellar',) 475.00 520.00 -1.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('duplex',) 490.00 530.00 -2.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter ('duplex',) 500.00 600.00 -0.346787 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 600.00 650.00 -1.886057 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter ('lamellar',) 500.00 640.00 -0.318759 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('equaix',) 650.00 710.00 -1.744727 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter ('equaix',) 520.00 650.00 -0.356547 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter ('lamellar',) 480.00 500.00 -1.823909 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter ('lamellar',) 500.00 625.00 -0.376751 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 312.00 570.00 -2.318759 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 360.00 584.00 -2.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 cast ('lamellar',) 395.00 453.00 -2.522879 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 cast ('lamellar',) 445.00 640.00 -2.187087 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 100.00 150.00 -2.119186 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 102.00 200.00 -2.167491 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 104.00 240.00 -2.055517 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 149.00 300.00 -2.036212 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('lamellar',) 190.00 373.00 -1.838632 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast ('duplex',) 204.00 506.00 -1.578396 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast ('duplex',) 302.00 520.00 -1.438899 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 cast ('lamellar',) 460.00 604.00 -1.249492 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 cast ('lamellar',) 503.00 780.00 -1.465974 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast ('duplex',) 705.00 1039.00 -1.060481 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 sinter ('lamellar',) 503.00 805.00 -1.026872 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sinter ('duplex',) 704.00 935.00 -0.978811 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 cast ('duplex',) 893.00 1034.00 -0.939302 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 sinter ('lamellar',) 935.00 1235.00 -0.903090 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
In [20]:
# Remove the punctuations from the string formatted tokenised words for the microstructure column

TiAl_Input_drop["Microstructure"] = TiAl_Input_drop["Microstructure"].apply(remove_punctuations)

TiAl_Input_drop
Out[20]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg) Ti(wt%) Al(wt%) Mn(wt%) Nb(wt%) Cr(wt%) Mo(wt%) V(wt%) Zr(wt%) Hf(wt%) Ta(wt%) Si(wt%) W(wt%) C(wt%) B(wt%) Fe(wt%) Ru(wt%) Re(wt%) Ni(wt%) O(wt%) Y(wt%) TiB2(wt%)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 495.00 675.00 -1.638272 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 cast lamellar 502.00 690.00 -1.251812 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast lamellar 450.00 587.00 -1.455932 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 550.00 679.00 -1.568636 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast lamellar 350.00 596.00 -1.508638 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 405.00 568.00 -1.244125 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast lamellar 604.00 790.00 -1.920819 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 cast lamellar 450.00 687.00 -1.769551 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 cast lamellar 570.00 695.00 -1.823909 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 cast lamellar 440.00 650.00 -1.244125 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 cast lamellar 415.00 510.00 -0.721246 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 cast lamellar 402.00 482.00 -1.823909 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 cast lamellar 344.00 458.00 -1.102373 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 425.00 520.00 -2.000000 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast duplex 350.00 460.00 -1.602060 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud lamellar 648.00 717.00 -1.795880 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud lamellar 517.00 692.00 -1.267606 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg duplex 462.00 579.00 -1.552842 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg duplex 345.00 468.00 -0.397940 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg lamellar 473.00 557.00 -1.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg lamellar 375.00 509.00 -1.494850 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 forg lamellar 362.00 485.00 -0.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forg duplex 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forg duplex 360.00 450.00 -1.376751 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forg duplex 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 forg duplex 345.00 476.00 -1.193820 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forg duplex 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 cast duplex 490.00 567.00 -0.939302 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg duplex 480.00 548.00 -1.638272 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forg duplex 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg duplex 324.00 492.00 -0.259637 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg lamellar 330.00 383.00 -2.096910 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg lamellar 290.00 378.00 -1.823909 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 465.00 566.00 -1.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter lamellar 370.00 540.00 -0.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast duplex 310.00 430.00 -1.193820 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud duplex 480.00 679.00 -1.508638 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud duplex 403.00 563.00 -0.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extrud duplex 330.00 475.00 -0.275724 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud lamellar 454.00 596.00 -2.301030 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud lamellar 405.00 508.00 -1.522879 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extrud lamellar 350.00 589.00 -0.721246 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
44 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sinter lamellar 421.00 581.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
45 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 429.00 516.00 -1.853872 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
46 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast lamellar 286.00 428.00 -0.876148 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
47 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 cast lamellar 368.00 531.00 -0.632644 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
48 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 430.00 515.00 -2.000000 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
49 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast duplex 363.00 495.00 -0.632644 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
50 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 cast duplex 334.00 403.00 -0.835647 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
51 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast duplex 326.00 422.00 -1.769551 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
52 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast duplex 284.00 474.00 -1.292430 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
53 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast duplex 458.00 536.00 -1.847712 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
54 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast duplex 355.00 539.00 -1.468521 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
55 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 563.00 685.00 -1.017729 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
56 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast duplex 703.00 943.00 -1.283997 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
57 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast duplex 486.00 604.00 -1.124939 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
58 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast duplex 342.00 459.00 -1.075721 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
59 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast duplex 263.00 432.00 -1.677781 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
60 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast duplex 504.00 599.00 -2.050610 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
61 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast duplex 413.00 571.00 -1.705534 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
62 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast duplex 528.00 589.00 -2.236572 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
63 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast duplex 440.00 532.00 -1.970616 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
64 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 cast duplex 422.00 482.00 -1.995679 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
65 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 cast duplex 359.00 524.00 -1.437707 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
66 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 forg duplex 417.00 547.00 -1.950782 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
67 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 forg lamellar 331.00 587.00 -1.405607 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
68 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extrud duplex 947.00 1070.00 -1.812479 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
69 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extrud lamellar 775.00 1015.00 -1.856985 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
70 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 extrud lamellar 637.00 875.00 -3.000000 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
71 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 extrud lamellar 810.00 964.00 -2.050610 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
72 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud lamellar 892.00 1092.00 -1.031517 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
73 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 450.00 622.00 -0.966576 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
74 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 624.00 662.00 -2.397940 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
75 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 364.00 554.00 -1.283997 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
76 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 686.00 713.00 -2.397940 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
77 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 676.00 696.00 -2.522879 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
78 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 632.00 706.00 -2.154902 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
79 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 686.00 698.00 -2.698970 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
80 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 671.00 750.00 -2.096910 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
81 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 710.00 756.00 -2.522879 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
82 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 643.00 687.00 -2.397940 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
83 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 617.00 690.00 -2.096910 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
84 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 733.00 817.00 -1.769551 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
85 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 644.00 705.00 -2.301030 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
86 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 732.00 755.00 -2.221849 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
87 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 616.00 669.00 -2.397940 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
88 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 672.00 764.00 -1.958607 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
89 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 forg duplex 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
90 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 forg duplex 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
91 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 cast duplex 490.00 689.00 -1.080922 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
92 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 forg duplex 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
93 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 forg duplex 360.00 450.00 0.857332 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
94 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
95 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 cast duplex 310.00 430.00 -1.013228 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
96 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 extrud duplex 467.00 640.00 -1.744727 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
97 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 extrud duplex 404.00 630.00 -0.667562 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
98 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 extrud duplex 340.00 560.00 -0.443697 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
99 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
100 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sinter lamellar 421.00 551.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
101 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg duplex 405.00 465.50 -1.809668 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
102 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 forg duplex 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
103 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg duplex 307.00 435.00 -0.548982 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
104 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 462.00 520.00 -2.221849 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
105 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 cast duplex 364.00 424.00 -0.397940 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
106 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter duplex 799.00 799.00 -1.207608 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
107 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 773.00 885.00 -2.236572 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
108 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 763.00 911.00 -2.086186 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
109 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 806.00 981.00 -2.045757 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
110 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 724.00 775.00 -2.522879 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
111 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 578.00 670.00 -2.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
112 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast lamellar 479.00 645.00 -1.124939 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
113 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg lamellar 753.00 975.00 -1.823909 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
114 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forg lamellar 790.00 950.00 -0.602060 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
115 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg duplex 689.00 820.00 -1.619789 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
116 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forg duplex 579.00 770.00 -0.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
117 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg lamellar 624.00 860.00 -1.920819 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
118 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 forg lamellar 689.00 830.00 -0.508638 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
119 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 cast lamellar 503.00 705.00 -0.638272 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
120 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 cast lamellar 595.00 795.00 -0.920819 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
121 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 607.00 895.00 -1.376751 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
122 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 693.00 913.00 -0.769551 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
123 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 532.00 774.00 -2.055517 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
124 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 689.00 787.00 -2.356547 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
125 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 745.00 963.00 -2.823909 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
126 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 674.00 874.00 -2.107905 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
127 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 631.00 867.00 -2.251812 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
128 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 468.00 550.00 -2.522879 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
129 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 421.00 620.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
130 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 584.00 730.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
131 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 567.00 650.00 -2.221849 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
132 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 342.00 560.00 -2.698970 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
133 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 457.00 560.00 -2.522879 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
134 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 479.00 580.00 -2.397940 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
135 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 424.00 600.00 -2.221849 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
136 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 423.00 650.00 -2.346787 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
137 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast lamellar 465.00 680.00 -1.096910 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
138 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast lamellar 423.00 660.00 -1.000000 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
139 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 413.00 660.00 -0.920819 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
140 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast lamellar 363.00 520.00 -0.397940 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
141 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast lamellar 467.00 526.00 -0.494850 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
142 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 754.00 930.00 -2.070581 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
143 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast lamellar 745.00 890.00 -0.602060 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
144 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast lamellar 721.00 900.00 -0.154902 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
145 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 497.00 500.00 0.008600 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
146 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast lamellar 345.00 480.00 0.217484 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
147 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 579.00 780.00 0.120574 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
148 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 524.00 736.50 0.089905 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
149 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 364.00 546.00 0.214844 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
150 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 579.00 776.00 -0.267606 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
151 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 352.00 494.00 -0.327902 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
152 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 503.00 780.00 -0.200659 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
153 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 463.00 633.00 -0.468521 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
154 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 683.00 803.00 -0.769551 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
155 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 503.00 705.00 -0.552842 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
156 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 604.00 806.00 -0.366532 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
157 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 595.00 754.00 -0.431798 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
158 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 640.00 896.00 -0.376751 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
159 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 395.00 596.00 -0.638272 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
160 54.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 406.00 629.00 -0.677781 801.897799 0.638530 0.286572 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.074898 0.000000 0.000000 0.000000 0.000000 0.000000
161 52.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 395.00 539.00 -0.508638 1296.813694 0.599134 0.279234 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.121632 0.000000 0.000000 0.000000 0.000000 0.000000
162 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 cast lamellar 425.00 511.00 -2.301030 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
163 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 cast lamellar 340.00 426.00 -1.244125 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
164 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 cast lamellar 300.00 500.00 -1.522879 107.774260 0.653669 0.319756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002588 0.000000 0.000000 0.000000 0.000000 0.000000 0.023988 0.000000 0.000000 0.000000 0.000000
165 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 405.00 680.00 -0.698970 9.063445 0.653868 0.319853 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002589 0.023690 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
166 53.000 46.0 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 305.00 580.00 -0.698970 8.822925 0.661358 0.323517 0.000000 0.000000 0.000000 0.012506 0.000000 0.000000 0.000000 0.000000 0.002618 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
167 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 494.00 1414.00 -0.638272 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
168 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 547.00 1781.00 -0.602060 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
169 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 forg duplex 962.00 1174.00 -1.995679 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
170 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 forg duplex 681.00 777.00 -0.431798 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
171 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 305.00 545.00 -1.869666 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
172 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 323.00 562.00 -1.847712 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
173 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 366.00 558.00 -1.879426 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
174 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 358.00 573.00 -1.832683 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
175 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 356.00 414.00 -1.091515 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
176 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 364.00 552.00 -0.677781 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
177 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 367.00 522.00 -0.494850 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
178 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 462.00 580.00 -0.236572 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
179 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 620.00 697.00 -1.397940 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
180 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 715.00 770.00 -1.221849 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
181 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 600.00 680.00 -1.522879 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
182 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 460.00 505.00 -0.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
183 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 660.00 750.00 -1.823909 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
184 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 690.00 760.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
185 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 610.00 750.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
186 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 497.00 536.00 -2.408935 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
187 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 444.00 552.00 -1.085128 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
188 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 506.00 771.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
189 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast duplex 470.00 515.00 -0.036684 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
190 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 528.00 735.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
191 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast duplex 421.00 486.00 -0.123782 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
192 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 943.00 1700.00 -0.173925 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
193 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast lamellar 356.00 420.00 -0.468521 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
194 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 640.00 1780.00 -0.124939 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
195 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast lamellar 305.00 440.00 -0.080922 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
196 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 850.00 1870.00 -0.075721 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
197 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast lamellar 395.00 465.00 -0.251812 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
198 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 940.00 1900.00 -0.136677 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
199 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast lamellar 356.00 468.00 -0.142668 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
200 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 1032.00 2050.00 -0.070581 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
201 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast lamellar 305.00 550.00 -0.022276 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
202 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 1348.00 2030.00 -0.026872 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
203 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 cast lamellar 402.00 600.00 -0.468521 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
204 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 615.00 1440.00 -0.193820 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
205 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 204.00 392.00 -0.366532 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
206 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter equaix 1665.00 2526.00 -0.492144 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
207 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 cast lamellar 780.00 2080.00 -0.552842 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
208 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 cast lamellar 780.00 2014.00 -0.070581 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
209 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 680.00 1294.00 -0.468521 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
210 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 420.00 1024.00 -0.267606 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
211 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 cast lamellar 200.00 840.00 -0.173925 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
212 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 cast lamellar 920.00 2250.00 -0.552842 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 cast lamellar 980.00 1943.00 -0.468521 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 720.00 943.00 -0.443697 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast lamellar 430.00 693.00 -0.327902 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 cast lamellar 250.00 492.00 -0.638272 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
217 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 1917.00 2150.00 -1.823909 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 1483.00 2088.00 -1.337242 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 2140.00 2643.00 -1.173925 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 1643.00 2567.00 -0.806875 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 1108.00 2687.00 -0.565431 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 1653.00 2514.00 -0.978811 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 1342.00 2274.00 -0.906578 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 909.00 3106.00 -0.497573 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 1112.00 2321.00 -0.694649 26.270307 0.451694 0.309623 0.000000 0.238683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 395.00 550.00 -2.096910 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 309.00 400.00 -1.431798 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 310.00 560.00 -1.978811 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 300.00 500.00 -1.283997 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 359.00 540.00 -2.000000 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 305.00 470.00 -1.332547 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 881.00 1113.00 -1.619789 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 cast lamellar 745.00 1070.00 -0.869666 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 cast lamellar 570.00 860.00 -0.468521 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 1100.00 1500.00 -1.301030 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 1500.00 1800.00 -0.721246 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 1520.00 2250.00 -0.602060 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 1560.00 2500.00 -0.508638 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter lamellar 1020.00 1500.00 -0.275724 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 150.00 313.63 -2.096910 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 191.74 392.67 -1.557520 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 371.85 426.88 -1.485452 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter lamellar 224.61 353.31 -1.165579 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 440.43 527.77 -1.465974 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter lamellar 341.45 430.78 -1.124939 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 543.55 672.33 -1.295849 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter lamellar 506.31 625.22 -1.143271 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 607.35 730.09 -1.371611 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter lamellar 486.25 607.78 -1.101275 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 353.31 464.61 -1.571865 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter lamellar 385.97 468.56 -1.244888 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 524.56 632.83 -1.496209 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter lamellar 508.36 620.53 -1.128427 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 586.21 690.42 -1.468521 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 sinter lamellar 536.24 645.41 -1.153045 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 480.00 520.00 -2.045757 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter lamellar 475.00 520.00 -1.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter duplex 490.00 530.00 -2.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter duplex 500.00 600.00 -0.346787 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 600.00 650.00 -1.886057 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter lamellar 500.00 640.00 -0.318759 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter equaix 650.00 710.00 -1.744727 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter equaix 520.00 650.00 -0.356547 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 sinter lamellar 480.00 500.00 -1.823909 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 sinter lamellar 500.00 625.00 -0.376751 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 312.00 570.00 -2.318759 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 360.00 584.00 -2.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 cast lamellar 395.00 453.00 -2.522879 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 cast lamellar 445.00 640.00 -2.187087 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 100.00 150.00 -2.119186 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 102.00 200.00 -2.167491 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 104.00 240.00 -2.055517 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 149.00 300.00 -2.036212 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast lamellar 190.00 373.00 -1.838632 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 cast duplex 204.00 506.00 -1.578396 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 cast duplex 302.00 520.00 -1.438899 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 cast lamellar 460.00 604.00 -1.249492 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 cast lamellar 503.00 780.00 -1.465974 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 cast duplex 705.00 1039.00 -1.060481 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 sinter lamellar 503.00 805.00 -1.026872 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 sinter duplex 704.00 935.00 -0.978811 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 cast duplex 893.00 1034.00 -0.939302 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 sinter lamellar 935.00 1235.00 -0.903090 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348

2.15 Categorical Variables Processing (Label Encoding)

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After the processing of the 2 categorical variable columns (Synthesis Methods and Microstructure), it is essential that they have be encoded into a numerical vector variable in order for any machine learning learning methods to process the information contained in both columns. Therefore, among the various encoding methods, label encoding was chosen as it has the best capability to retain each of the 2 columns while assinging a numerical vector for each type of synthesis method present within the Synthesis Methods column and for each type of microstructure present within the Microstructure column.

The retaining of the 2 columns is essential as due to the retaining of the original number of columns as 2 with label encoding for both categorical variables, it will be easier to work with the pearson correlations of the synthesis methods and the microstructure with the yield strength, tensile strength and Elongation (Log 10).

This will be be different with one hot encoding as both categorical columns will be split according to the number of different variables contained within both columns with zeros and ones. This will then increase the number of columns for the categorical variables from 2 and match with the total number of different variables contained within both columns. This will also make it difficult to work with the pearson correlations as there will be too many columns to deal with for the categorical variables and the relationships between the original 2 categorical variable columns and the mechanical properties (yield strength, tensile strength and Elongation (Log 10) cannot be obtained anymore which is why label encoding was used instead of one hot encoding.

In [21]:
# Apply label encoding to the synthesis methods column

Label_Encoder = LabelEncoder()

TiAl_Input_drop["Synthesis Methods"] = Label_Encoder.fit_transform(TiAl_Input_drop["Synthesis Methods"])

TiAl_Input_drop
Out[21]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg) Ti(wt%) Al(wt%) Mn(wt%) Nb(wt%) Cr(wt%) Mo(wt%) V(wt%) Zr(wt%) Hf(wt%) Ta(wt%) Si(wt%) W(wt%) C(wt%) B(wt%) Fe(wt%) Ru(wt%) Re(wt%) Ni(wt%) O(wt%) Y(wt%) TiB2(wt%)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 495.00 675.00 -1.638272 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 lamellar 502.00 690.00 -1.251812 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 lamellar 450.00 587.00 -1.455932 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 550.00 679.00 -1.568636 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 lamellar 350.00 596.00 -1.508638 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 405.00 568.00 -1.244125 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 lamellar 604.00 790.00 -1.920819 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 0 lamellar 450.00 687.00 -1.769551 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 0 lamellar 570.00 695.00 -1.823909 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 0 lamellar 440.00 650.00 -1.244125 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 0 lamellar 415.00 510.00 -0.721246 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 0 lamellar 402.00 482.00 -1.823909 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 0 lamellar 344.00 458.00 -1.102373 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 425.00 520.00 -2.000000 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 duplex 350.00 460.00 -1.602060 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 lamellar 648.00 717.00 -1.795880 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 lamellar 517.00 692.00 -1.267606 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 duplex 462.00 579.00 -1.552842 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 duplex 345.00 468.00 -0.397940 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 lamellar 473.00 557.00 -1.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 lamellar 375.00 509.00 -1.494850 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 2 lamellar 362.00 485.00 -0.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 2 duplex 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 2 duplex 360.00 450.00 -1.376751 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 2 duplex 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 2 duplex 345.00 476.00 -1.193820 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 2 duplex 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 0 duplex 490.00 567.00 -0.939302 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 duplex 480.00 548.00 -1.638272 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 2 duplex 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 duplex 324.00 492.00 -0.259637 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 lamellar 330.00 383.00 -2.096910 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 lamellar 290.00 378.00 -1.823909 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 465.00 566.00 -1.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 lamellar 370.00 540.00 -0.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 duplex 310.00 430.00 -1.193820 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 duplex 480.00 679.00 -1.508638 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 duplex 403.00 563.00 -0.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 duplex 330.00 475.00 -0.275724 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 lamellar 454.00 596.00 -2.301030 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 lamellar 405.00 508.00 -1.522879 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 lamellar 350.00 589.00 -0.721246 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
44 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 lamellar 421.00 581.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
45 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 429.00 516.00 -1.853872 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
46 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 lamellar 286.00 428.00 -0.876148 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
47 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 0 lamellar 368.00 531.00 -0.632644 10.367565 0.617067 0.331896 0.000000 0.027218 0.023818 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
48 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 430.00 515.00 -2.000000 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
49 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 duplex 363.00 495.00 -0.632644 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
50 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 0 duplex 334.00 403.00 -0.835647 24.145406 0.581011 0.320641 0.000000 0.026295 0.026297 0.000000 0.000000 0.000000 0.000000 0.045755 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
51 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 duplex 326.00 422.00 -1.769551 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
52 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 duplex 284.00 474.00 -1.292430 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
53 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 duplex 458.00 536.00 -1.847712 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
54 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 duplex 355.00 539.00 -1.468521 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
55 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 563.00 685.00 -1.017729 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
56 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 duplex 703.00 943.00 -1.283997 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
57 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 duplex 486.00 604.00 -1.124939 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
58 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 duplex 342.00 459.00 -1.075721 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
59 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 duplex 263.00 432.00 -1.677781 11.335043 0.587448 0.331092 0.000000 0.040729 0.040732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
60 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 duplex 504.00 599.00 -2.050610 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
61 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 duplex 413.00 571.00 -1.705534 11.079164 0.589874 0.304918 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002441 0.102767 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
62 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 duplex 528.00 589.00 -2.236572 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
63 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 duplex 440.00 532.00 -1.970616 10.769301 0.599551 0.305683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002474 0.090561 0.000000 0.001731 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
64 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 duplex 422.00 482.00 -1.995679 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
65 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 duplex 359.00 524.00 -1.437707 32.061074 0.582239 0.312148 0.000000 0.008998 0.020568 0.000000 0.000000 0.000000 0.000000 0.076047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
66 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 2 duplex 417.00 547.00 -1.950782 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
67 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 2 lamellar 331.00 587.00 -1.405607 10.591698 0.606285 0.329780 0.000000 0.027045 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009562 0.000000 0.000281 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
68 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 1 duplex 947.00 1070.00 -1.812479 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
69 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 1 lamellar 775.00 1015.00 -1.856985 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
70 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 1 lamellar 637.00 875.00 -3.000000 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
71 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 1 lamellar 810.00 964.00 -2.050610 13.551972 0.616235 0.315105 0.000000 0.067475 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000623 0.000561 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
72 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 lamellar 892.00 1092.00 -1.031517 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
73 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 450.00 622.00 -0.966576 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
74 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 624.00 662.00 -2.397940 16.564500 0.589041 0.304324 0.000000 0.106635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
75 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 364.00 554.00 -1.283997 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
76 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 686.00 713.00 -2.397940 28.939670 0.570192 0.294585 0.000000 0.090320 0.000000 0.000000 0.000000 0.000000 0.000000 0.044903 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
77 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 676.00 696.00 -2.522879 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
78 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 632.00 706.00 -2.154902 14.867037 0.564679 0.292958 0.000000 0.051326 0.000000 0.000000 0.000000 0.090045 0.000000 0.000000 0.000992 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
79 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 686.00 698.00 -2.698970 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
80 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 671.00 750.00 -2.096910 58.727225 0.500916 0.259877 0.000000 0.000000 0.000000 0.000000 0.000000 0.079877 0.000000 0.158450 0.000880 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
81 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 710.00 756.00 -2.522879 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
82 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 643.00 687.00 -2.397940 156.607365 0.519892 0.269722 0.000000 0.047255 0.000000 0.000000 0.000000 0.000000 0.162217 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
83 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 617.00 690.00 -2.096910 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
84 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 733.00 817.00 -1.769551 16.588721 0.582302 0.307243 0.000000 0.107658 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002798 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
85 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 644.00 705.00 -2.301030 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
86 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 732.00 755.00 -2.221849 14.874677 0.557969 0.295662 0.000000 0.051800 0.000000 0.000000 0.000000 0.090876 0.000000 0.000000 0.001001 0.000000 0.000000 0.002692 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
87 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 616.00 669.00 -2.397940 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
88 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 672.00 764.00 -1.958607 157.818024 0.513339 0.272013 0.000000 0.047657 0.000000 0.000000 0.000000 0.000000 0.163594 0.000000 0.000921 0.000000 0.000000 0.002477 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
89 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 2 duplex 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
90 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 2 duplex 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
91 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 0 duplex 490.00 689.00 -1.080922 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
92 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 2 duplex 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
93 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 2 duplex 360.00 450.00 0.857332 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
94 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
95 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 duplex 310.00 430.00 -1.013228 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
96 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 duplex 467.00 640.00 -1.744727 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
97 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 duplex 404.00 630.00 -0.667562 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
98 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 duplex 340.00 560.00 -0.443697 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
99 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
100 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 lamellar 421.00 551.00 -1.283997 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
101 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 duplex 405.00 465.50 -1.809668 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
102 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 2 duplex 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
103 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 duplex 307.00 435.00 -0.548982 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
104 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 462.00 520.00 -2.221849 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
105 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 0 duplex 364.00 424.00 -0.397940 11.885850 0.629024 0.336727 0.000000 0.000000 0.000000 0.000000 0.010148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001997 0.022105 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
106 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 duplex 799.00 799.00 -1.207608 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
107 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 773.00 885.00 -2.236572 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
108 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 763.00 911.00 -2.086186 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
109 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 806.00 981.00 -2.045757 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
110 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 724.00 775.00 -2.522879 13.281420 0.622076 0.301502 0.000000 0.052944 0.000000 0.023203 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000275 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
111 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 578.00 670.00 -2.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
112 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 lamellar 479.00 645.00 -1.124939 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
113 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 lamellar 753.00 975.00 -1.823909 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
114 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 lamellar 790.00 950.00 -0.602060 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
115 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 duplex 689.00 820.00 -1.619789 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
116 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 duplex 579.00 770.00 -0.397940 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
117 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 lamellar 624.00 860.00 -1.920819 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
118 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 lamellar 689.00 830.00 -0.508638 14.659258 0.617450 0.299281 0.000000 0.080480 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002789 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
119 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 0 lamellar 503.00 705.00 -0.638272 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
120 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 0 lamellar 595.00 795.00 -0.920819 8.516144 0.644888 0.296004 0.028035 0.000000 0.026535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.004537 0.000000
121 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 607.00 895.00 -1.376751 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
122 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 693.00 913.00 -0.769551 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
123 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 532.00 774.00 -2.055517 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
124 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 689.00 787.00 -2.356547 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
125 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 745.00 963.00 -2.823909 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
126 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 674.00 874.00 -2.107905 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
127 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 631.00 867.00 -2.251812 17.468138 0.557609 0.321257 0.000000 0.121134 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
128 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 468.00 550.00 -2.522879 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
129 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 421.00 620.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
130 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 584.00 730.00 -2.397940 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
131 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 567.00 650.00 -2.221849 21.782815 0.619174 0.331348 0.000000 0.000000 0.013588 0.000000 0.035890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
132 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 342.00 560.00 -2.698970 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
133 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 457.00 560.00 -2.522879 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
134 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 479.00 580.00 -2.397940 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
135 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 424.00 600.00 -2.221849 8.938634 0.701186 0.272549 0.000000 0.000000 0.026265 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
136 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 423.00 650.00 -2.346787 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
137 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 lamellar 465.00 680.00 -1.096910 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
138 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 lamellar 423.00 660.00 -1.000000 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
139 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 413.00 660.00 -0.920819 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
140 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 lamellar 363.00 520.00 -0.397940 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
141 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 lamellar 467.00 526.00 -0.494850 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
142 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 754.00 930.00 -2.070581 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
143 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 lamellar 745.00 890.00 -0.602060 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
144 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 lamellar 721.00 900.00 -0.154902 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
145 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 497.00 500.00 0.008600 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
146 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 lamellar 345.00 480.00 0.217484 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
147 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 579.00 780.00 0.120574 14.029892 0.606959 0.291283 0.000000 0.052220 0.000000 0.048181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
148 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 524.00 736.50 0.089905 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
149 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 364.00 546.00 0.214844 8.641287 0.691351 0.308649 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
150 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 579.00 776.00 -0.267606 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
151 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 352.00 494.00 -0.327902 63.872446 0.687846 0.306940 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005215 0.000000 0.000000 0.000000 0.000000 0.000000
152 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 503.00 780.00 -0.200659 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
153 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 463.00 633.00 -0.468521 173.333364 0.680041 0.304408 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015550 0.000000 0.000000 0.000000 0.000000 0.000000
154 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 683.00 803.00 -0.769551 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
155 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 503.00 705.00 -0.552842 281.353455 0.673192 0.301059 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.025749 0.000000 0.000000 0.000000 0.000000 0.000000
156 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 604.00 806.00 -0.366532 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
157 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 595.00 754.00 -0.431798 387.981392 0.666430 0.297754 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.035816 0.000000 0.000000 0.000000 0.000000 0.000000
158 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 640.00 896.00 -0.376751 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
159 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 395.00 596.00 -0.638272 16.521780 0.579875 0.312916 0.000000 0.107209 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
160 54.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 406.00 629.00 -0.677781 801.897799 0.638530 0.286572 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.074898 0.000000 0.000000 0.000000 0.000000 0.000000
161 52.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 395.00 539.00 -0.508638 1296.813694 0.599134 0.279234 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.121632 0.000000 0.000000 0.000000 0.000000 0.000000
162 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 0 lamellar 425.00 511.00 -2.301030 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
163 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 0 lamellar 340.00 426.00 -1.244125 55.486654 0.575936 0.292619 0.000000 0.000000 0.000000 0.000000 0.124716 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.006728 0.000000
164 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 0 lamellar 300.00 500.00 -1.522879 107.774260 0.653669 0.319756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002588 0.000000 0.000000 0.000000 0.000000 0.000000 0.023988 0.000000 0.000000 0.000000 0.000000
165 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 405.00 680.00 -0.698970 9.063445 0.653868 0.319853 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002589 0.023690 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
166 53.000 46.0 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 305.00 580.00 -0.698970 8.822925 0.661358 0.323517 0.000000 0.000000 0.000000 0.012506 0.000000 0.000000 0.000000 0.000000 0.002618 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
167 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 494.00 1414.00 -0.638272 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
168 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 547.00 1781.00 -0.602060 14.363931 0.561276 0.299333 0.000000 0.065554 0.039335 0.000000 0.000000 0.034502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
169 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 duplex 962.00 1174.00 -1.995679 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
170 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 duplex 681.00 777.00 -0.431798 16.390814 0.551774 0.339257 0.000000 0.108970 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
171 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 305.00 545.00 -1.869666 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
172 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 323.00 562.00 -1.847712 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
173 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 366.00 558.00 -1.879426 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
174 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 358.00 573.00 -1.832683 18.422745 0.535148 0.329672 0.000000 0.135180 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
175 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 356.00 414.00 -1.091515 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
176 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 364.00 552.00 -0.677781 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
177 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 367.00 522.00 -0.494850 24.677530 0.580275 0.301049 0.000000 0.065930 0.000000 0.024333 0.027865 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000548 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
178 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 462.00 580.00 -0.236572 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
179 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 620.00 697.00 -1.397940 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
180 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 715.00 770.00 -1.221849 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
181 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 600.00 680.00 -1.522879 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
182 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 460.00 505.00 -0.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
183 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 660.00 750.00 -1.823909 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
184 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 690.00 760.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
185 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 610.00 750.00 -1.698970 13.338839 0.624630 0.297939 0.000000 0.052799 0.000000 0.024358 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
186 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 497.00 536.00 -2.408935 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
187 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 444.00 552.00 -1.085128 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
188 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 506.00 771.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
189 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 duplex 470.00 515.00 -0.036684 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
190 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 528.00 735.00 -3.000000 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
191 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 duplex 421.00 486.00 -0.123782 12.921194 0.610142 0.303831 0.000000 0.053231 0.019963 0.012279 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000553 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
192 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 943.00 1700.00 -0.173925 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
193 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 lamellar 356.00 420.00 -0.468521 25.616113 0.589340 0.287050 0.000000 0.079029 0.000000 0.000000 0.000000 0.000000 0.000000 0.036670 0.000000 0.000000 0.007910 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
194 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 640.00 1780.00 -0.124939 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
195 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 lamellar 305.00 440.00 -0.080922 25.659750 0.586693 0.288132 0.000000 0.079327 0.000000 0.000000 0.000000 0.000000 0.000000 0.036809 0.000000 0.000000 0.007940 0.001099 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
196 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 850.00 1870.00 -0.075721 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
197 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 lamellar 395.00 465.00 -0.251812 25.703717 0.584025 0.289222 0.000000 0.079627 0.000000 0.000000 0.000000 0.000000 0.000000 0.036948 0.000000 0.000000 0.007970 0.002207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
198 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 940.00 1900.00 -0.136677 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
199 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 lamellar 356.00 468.00 -0.142668 25.748018 0.581338 0.290321 0.000000 0.079930 0.000000 0.000000 0.000000 0.000000 0.000000 0.037088 0.000000 0.000000 0.008000 0.003323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
200 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 1032.00 2050.00 -0.070581 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
201 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 lamellar 305.00 550.00 -0.022276 25.792657 0.578630 0.291428 0.000000 0.080234 0.000000 0.000000 0.000000 0.000000 0.000000 0.037230 0.000000 0.000000 0.008031 0.004448 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
202 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 1348.00 2030.00 -0.026872 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
203 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 lamellar 402.00 600.00 -0.468521 25.837637 0.575901 0.292543 0.000000 0.080541 0.000000 0.000000 0.000000 0.000000 0.000000 0.037372 0.000000 0.000000 0.008061 0.005582 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
204 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 615.00 1440.00 -0.193820 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
205 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 204.00 392.00 -0.366532 16.461811 0.539104 0.324824 0.000000 0.104566 0.000000 0.015437 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.015780 0.000290 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
206 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 equaix 1665.00 2526.00 -0.492144 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
207 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 0 lamellar 780.00 2080.00 -0.552842 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
208 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 lamellar 780.00 2014.00 -0.070581 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
209 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 680.00 1294.00 -0.468521 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
210 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 420.00 1024.00 -0.267606 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
211 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 0 lamellar 200.00 840.00 -0.173925 7.794381 0.615794 0.312361 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071845 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
212 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 0 lamellar 920.00 2250.00 -0.552842 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 lamellar 980.00 1943.00 -0.468521 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 720.00 943.00 -0.443697 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 lamellar 430.00 693.00 -0.327902 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 0 lamellar 250.00 492.00 -0.638272 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
217 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 1917.00 2150.00 -1.823909 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 1483.00 2088.00 -1.337242 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 2140.00 2643.00 -1.173925 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 1643.00 2567.00 -0.806875 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 1108.00 2687.00 -0.565431 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 1653.00 2514.00 -0.978811 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 1342.00 2274.00 -0.906578 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 909.00 3106.00 -0.497573 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 1112.00 2321.00 -0.694649 26.270307 0.451694 0.309623 0.000000 0.238683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 395.00 550.00 -2.096910 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 309.00 400.00 -1.431798 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 310.00 560.00 -1.978811 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 300.00 500.00 -1.283997 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 359.00 540.00 -2.000000 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 305.00 470.00 -1.332547 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 881.00 1113.00 -1.619789 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 lamellar 745.00 1070.00 -0.869666 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 lamellar 570.00 860.00 -0.468521 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 1100.00 1500.00 -1.301030 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 1500.00 1800.00 -0.721246 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 1520.00 2250.00 -0.602060 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 1560.00 2500.00 -0.508638 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 lamellar 1020.00 1500.00 -0.275724 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 150.00 313.63 -2.096910 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 191.74 392.67 -1.557520 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 371.85 426.88 -1.485452 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 lamellar 224.61 353.31 -1.165579 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 440.43 527.77 -1.465974 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 lamellar 341.45 430.78 -1.124939 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 543.55 672.33 -1.295849 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 lamellar 506.31 625.22 -1.143271 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 607.35 730.09 -1.371611 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 lamellar 486.25 607.78 -1.101275 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 353.31 464.61 -1.571865 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 lamellar 385.97 468.56 -1.244888 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 524.56 632.83 -1.496209 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 lamellar 508.36 620.53 -1.128427 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 586.21 690.42 -1.468521 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 lamellar 536.24 645.41 -1.153045 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 480.00 520.00 -2.045757 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 lamellar 475.00 520.00 -1.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 duplex 490.00 530.00 -2.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 duplex 500.00 600.00 -0.346787 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 600.00 650.00 -1.886057 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 lamellar 500.00 640.00 -0.318759 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 equaix 650.00 710.00 -1.744727 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 equaix 520.00 650.00 -0.356547 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 lamellar 480.00 500.00 -1.823909 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 lamellar 500.00 625.00 -0.376751 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 312.00 570.00 -2.318759 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 360.00 584.00 -2.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 0 lamellar 395.00 453.00 -2.522879 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 0 lamellar 445.00 640.00 -2.187087 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 100.00 150.00 -2.119186 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 102.00 200.00 -2.167491 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 104.00 240.00 -2.055517 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 149.00 300.00 -2.036212 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 lamellar 190.00 373.00 -1.838632 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 duplex 204.00 506.00 -1.578396 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 duplex 302.00 520.00 -1.438899 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 0 lamellar 460.00 604.00 -1.249492 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 0 lamellar 503.00 780.00 -1.465974 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 duplex 705.00 1039.00 -1.060481 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 3 lamellar 503.00 805.00 -1.026872 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 duplex 704.00 935.00 -0.978811 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 0 duplex 893.00 1034.00 -0.939302 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 3 lamellar 935.00 1235.00 -0.903090 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
In [22]:
# Apply label encoding to the microstructure column

TiAl_Input_drop["Microstructure"] = Label_Encoder.fit_transform(TiAl_Input_drop["Microstructure"])

TiAl_Input_drop
Out[22]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg) Ti(wt%) Al(wt%) Mn(wt%) Nb(wt%) Cr(wt%) Mo(wt%) V(wt%) Zr(wt%) Hf(wt%) Ta(wt%) Si(wt%) W(wt%) C(wt%) B(wt%) Fe(wt%) Ru(wt%) Re(wt%) Ni(wt%) O(wt%) Y(wt%) TiB2(wt%)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 495.00 675.00 -1.638272 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 2 502.00 690.00 -1.251812 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 450.00 587.00 -1.455932 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 550.00 679.00 -1.568636 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 350.00 596.00 -1.508638 8.397526 0.666753 0.333247 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 405.00 568.00 -1.244125 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 2 604.00 790.00 -1.920819 9.014910 0.648784 0.327441 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.023736 0.000000 0.000039 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 0 2 450.00 687.00 -1.769551 8.396757 0.666668 0.333292 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000040 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 0 2 570.00 695.00 -1.823909 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 0 2 440.00 650.00 -1.244125 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 0 2 415.00 510.00 -0.721246 21.577647 0.618291 0.312378 0.028271 0.026756 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014303
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 0 2 402.00 482.00 -1.823909 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 0 2 344.00 458.00 -1.102373 21.545902 0.600109 0.329807 0.028578 0.027047 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014459
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 425.00 520.00 -2.000000 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 0 350.00 460.00 -1.602060 10.718100 0.594955 0.312083 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.002472 0.090490 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 2 648.00 717.00 -1.795880 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 2 517.00 692.00 -1.267606 13.562379 0.589571 0.311944 0.000000 0.052277 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.046208 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 462.00 579.00 -1.552842 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 345.00 468.00 -0.397940 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 473.00 557.00 -1.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 2 375.00 509.00 -1.494850 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 2 2 362.00 485.00 -0.920819 11.628367 0.598461 0.324728 0.000000 0.040375 0.026919 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.009517 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 2 0 480.00 530.00 -1.823909 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 2 0 360.00 450.00 -1.376751 13.716443 0.641607 0.342629 0.000000 0.000000 0.000000 0.000000 0.014535 0.000000 0.000000 0.000000 0.000000 0.000000 0.000635 0.000000 0.000000 0.000000 0.000000 0.000000 0.000593 0.000000 0.000000
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 2 0 392.00 406.00 -1.853872 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 2 0 345.00 476.00 -1.193820 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 2 0 320.00 470.00 -0.966576 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 0 0 490.00 567.00 -0.939302 13.712759 0.640513 0.343128 0.000000 0.000000 0.000000 0.000000 0.014557 0.000000 0.000000 0.000000 0.000000 0.000000 0.000955 0.000000 0.000000 0.000000 0.000000 0.000000 0.000848 0.000000 0.000000
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 480.00 548.00 -1.638272 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 2 0 383.00 507.00 -1.508638 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 324.00 492.00 -0.259637 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 330.00 383.00 -2.096910 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 2 290.00 378.00 -1.823909 16.354582 0.605396 0.331337 0.000000 0.035324 0.013587 0.000000 0.014356 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 465.00 566.00 -1.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 370.00 540.00 -0.853872 6.468616 0.471439 0.306585 0.221976 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 331.00 413.00 -1.638272 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 0 310.00 430.00 -1.193820 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 0 480.00 679.00 -1.508638 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 0 403.00 563.00 -0.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 0 330.00 475.00 -0.275724 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 2 454.00 596.00 -2.301030 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 2 405.00 508.00 -1.522879 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 2 350.00 589.00 -0.721246 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 510.00 597.00 -1.537602 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
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213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 2 980.00 1943.00 -0.468521 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 720.00 943.00 -0.443697 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 430.00 693.00 -0.327902 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 0 2 250.00 492.00 -0.638272 12.731859 0.551289 0.310712 0.000000 0.066534 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.071465 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
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218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1483.00 2088.00 -1.337242 29.865389 0.338614 0.306717 0.000000 0.288985 0.065684 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 2140.00 2643.00 -1.173925 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1643.00 2567.00 -0.806875 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1108.00 2687.00 -0.565431 26.552406 0.371927 0.304290 0.000000 0.234571 0.065164 0.024048 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1653.00 2514.00 -0.978811 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1342.00 2274.00 -0.906578 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 909.00 3106.00 -0.497573 22.745911 0.421662 0.305554 0.000000 0.183202 0.065434 0.024148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1112.00 2321.00 -0.694649 26.270307 0.451694 0.309623 0.000000 0.238683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 395.00 550.00 -2.096910 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 309.00 400.00 -1.431798 10.360102 0.613769 0.331807 0.000000 0.027211 0.027213 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 310.00 560.00 -1.978811 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 300.00 500.00 -1.283997 10.350292 0.612413 0.332431 0.000000 0.027262 0.027264 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000630 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 359.00 540.00 -2.000000 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 305.00 470.00 -1.332547 10.335507 0.610370 0.333371 0.000000 0.027339 0.027341 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001579 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 881.00 1113.00 -1.619789 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 2 745.00 1070.00 -0.869666 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 570.00 860.00 -0.468521 39.935742 0.617104 0.286429 0.000000 0.000000 0.013144 0.000000 0.083323 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1100.00 1500.00 -1.301030 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1500.00 1800.00 -0.721246 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1520.00 2250.00 -0.602060 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1560.00 2500.00 -0.508638 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 1020.00 1500.00 -0.275724 32.162537 0.547975 0.154422 0.000000 0.297603 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 150.00 313.63 -2.096910 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 191.74 392.67 -1.557520 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 371.85 426.88 -1.485452 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 224.61 353.31 -1.165579 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 440.43 527.77 -1.465974 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 341.45 430.78 -1.124939 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 543.55 672.33 -1.295849 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 506.31 625.22 -1.143271 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 607.35 730.09 -1.371611 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 486.25 607.78 -1.101275 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 353.31 464.61 -1.571865 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 385.97 468.56 -1.244888 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 524.56 632.83 -1.496209 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 508.36 620.53 -1.128427 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 586.21 690.42 -1.468521 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 536.24 645.41 -1.153045 32.054137 0.572637 0.133969 0.000000 0.293393 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 480.00 520.00 -2.045757 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 475.00 520.00 -1.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 0 490.00 530.00 -2.000000 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 0 500.00 600.00 -0.346787 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 600.00 650.00 -1.886057 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 500.00 640.00 -0.318759 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 1 650.00 710.00 -1.744727 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 1 520.00 650.00 -0.356547 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 480.00 500.00 -1.823909 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 500.00 625.00 -0.376751 15.827890 0.583002 0.309986 0.000000 0.092930 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014082 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 312.00 570.00 -2.318759 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 360.00 584.00 -2.397940 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 0 2 395.00 453.00 -2.522879 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 0 2 445.00 640.00 -2.187087 10.395446 0.561964 0.337844 0.000000 0.027129 0.027131 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.045932 0.000000 0.000000 0.000000
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 100.00 150.00 -2.119186 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 102.00 200.00 -2.167491 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 104.00 240.00 -2.055517 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 149.00 300.00 -2.036212 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 190.00 373.00 -1.838632 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 0 204.00 506.00 -1.578396 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 0 302.00 520.00 -1.438899 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 0 2 460.00 604.00 -1.249492 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 0 2 503.00 780.00 -1.465974 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 705.00 1039.00 -1.060481 8.218772 0.648716 0.351284 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 3 2 503.00 805.00 -1.026872 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 0 704.00 935.00 -0.978811 10.282391 0.604548 0.340729 0.000000 0.027361 0.027363 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 0 0 893.00 1034.00 -0.939302 20.622857 0.593051 0.339339 0.000000 0.027249 0.027251 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.013110
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 3 2 935.00 1235.00 -0.903090 33.430417 0.578810 0.337618 0.000000 0.027111 0.027113 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.029348

2.16 Drop Elements Weight Percentages (wt%) Columns

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Once the label encoding of the 2 categorical variables columns (Synthesis Methods and Microstructure) has been done, the weight percentages of the elements (wt%) no longer have a purpose as their purpose was to be used in the calculation of the Cost (USD/kg) for each variation of the (γ) and ((α2) + (γ)) titanium alumimides persent in the dataset. Therefore, the the weight percentages of the elements (wt%) were removed accordingly.

In [23]:
# Remove the elements weight percentages (wt%)

Encoded_Dataset = TiAl_Input_drop.drop(["Ti(wt%)", "Al(wt%)","Mn(wt%)", "Nb(wt%)", "Cr(wt%)", "Mo(wt%)", "V(wt%)","Zr(wt%)", 
                                        "Hf(wt%)", "Ta(wt%)", "Si(wt%)", "W(wt%)", "C(wt%)","B(wt%)", "Fe(wt%)", "Ru(wt%)", 
                                        "Re(wt%)", "Ni(wt%)", "O(wt%)","Ti(wt%)", "Y(wt%)", "TiB2(wt%)"], axis=1)

Encoded_Dataset
Out[23]:
Ti(at%) Al(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg)
0 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 495.00 675.00 -1.638272 8.397526
1 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 2 502.00 690.00 -1.251812 8.396757
2 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 450.00 587.00 -1.455932 9.014910
3 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 550.00 679.00 -1.568636 8.396757
4 53.000 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 350.00 596.00 -1.508638 8.397526
5 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 405.00 568.00 -1.244125 8.396757
6 52.486 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 2 604.00 790.00 -1.920819 9.014910
7 52.986 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 0 2 450.00 687.00 -1.769551 8.396757
8 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 0 2 570.00 695.00 -1.823909 21.577647
9 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 0 2 440.00 650.00 -1.244125 21.577647
10 50.200 45.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 0 2 415.00 510.00 -0.721246 21.577647
11 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 0 2 402.00 482.00 -1.823909 21.545902
12 48.200 47.0 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 0 2 344.00 458.00 -1.102373 21.545902
13 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 425.00 520.00 -2.000000 10.718100
14 50.500 47.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 0 350.00 460.00 -1.602060 10.718100
15 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 2 648.00 717.00 -1.795880 13.562379
16 49.000 46.0 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 2 517.00 692.00 -1.267606 13.562379
17 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 462.00 579.00 -1.552842 11.628367
18 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 345.00 468.00 -0.397940 11.628367
19 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 473.00 557.00 -1.920819 11.628367
20 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 2 375.00 509.00 -1.494850 11.628367
21 48.300 46.5 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 2 2 362.00 485.00 -0.920819 11.628367
22 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 2 0 480.00 530.00 -1.823909 13.716443
23 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 2 0 360.00 450.00 -1.376751 13.716443
24 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 2 0 392.00 406.00 -1.853872 13.712759
25 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 2 0 345.00 476.00 -1.193820 13.712759
26 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 2 0 320.00 470.00 -0.966576 13.712759
27 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 0 0 490.00 567.00 -0.939302 13.712759
28 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 480.00 548.00 -1.638272 16.354582
29 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 2 0 383.00 507.00 -1.508638 16.354582
30 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 324.00 492.00 -0.259637 16.354582
31 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 330.00 383.00 -2.096910 16.354582
32 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 2 290.00 378.00 -1.823909 16.354582
33 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 465.00 566.00 -1.853872 6.468616
34 39.000 45.0 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 370.00 540.00 -0.853872 6.468616
35 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 331.00 413.00 -1.638272 10.282391
36 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 0 310.00 430.00 -1.193820 10.282391
37 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 0 480.00 679.00 -1.508638 10.282391
38 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 0 403.00 563.00 -0.397940 10.282391
39 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 0 330.00 475.00 -0.275724 10.282391
40 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 2 454.00 596.00 -2.301030 10.282391
41 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 2 405.00 508.00 -1.522879 10.282391
42 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 2 350.00 589.00 -0.721246 10.282391
43 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 510.00 597.00 -1.537602 10.282391
44 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 2 421.00 581.00 -1.283997 10.282391
45 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 429.00 516.00 -1.853872 10.367565
46 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 2 286.00 428.00 -0.876148 10.367565
47 49.250 47.0 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 0 2 368.00 531.00 -0.632644 10.367565
48 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 430.00 515.00 -2.000000 24.145406
49 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 363.00 495.00 -0.632644 24.145406
50 48.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 0 0 334.00 403.00 -0.835647 24.145406
51 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 326.00 422.00 -1.769551 10.282391
52 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 284.00 474.00 -1.292430 10.282391
53 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 458.00 536.00 -1.847712 10.360102
54 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 355.00 539.00 -1.468521 10.360102
55 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 563.00 685.00 -1.017729 11.335043
56 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 0 703.00 943.00 -1.283997 11.335043
57 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 486.00 604.00 -1.124939 11.335043
58 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 0 342.00 459.00 -1.075721 11.335043
59 47.000 47.0 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 0 263.00 432.00 -1.677781 11.335043
60 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 504.00 599.00 -2.050610 11.079164
61 50.700 46.5 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 413.00 571.00 -1.705534 11.079164
62 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 528.00 589.00 -2.236572 10.769301
63 50.850 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 440.00 532.00 -1.970616 10.769301
64 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 422.00 482.00 -1.995679 32.061074
65 49.200 46.8 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 359.00 524.00 -1.437707 32.061074
66 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 2 0 417.00 547.00 -1.950782 10.591698
67 48.700 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 2 2 331.00 587.00 -1.405607 10.591698
68 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 1 0 947.00 1070.00 -1.812479 13.551972
69 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 1 2 775.00 1015.00 -1.856985 13.551972
70 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 1 2 637.00 875.00 -3.000000 13.551972
71 49.600 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 1 2 810.00 964.00 -2.050610 13.551972
72 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 2 892.00 1092.00 -1.031517 10.360102
73 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 450.00 622.00 -0.966576 16.564500
74 48.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 624.00 662.00 -2.397940 16.564500
75 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 364.00 554.00 -1.283997 28.939670
76 48.000 44.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 686.00 713.00 -2.397940 28.939670
77 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 676.00 696.00 -2.522879 14.867037
78 47.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 632.00 706.00 -2.154902 14.867037
79 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 686.00 698.00 -2.698970 58.727225
80 47.800 44.0 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 671.00 750.00 -2.096910 58.727225
81 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 710.00 756.00 -2.522879 156.607365
82 47.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 643.00 687.00 -2.397940 156.607365
83 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 617.00 690.00 -2.096910 16.588721
84 47.000 44.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 733.00 817.00 -1.769551 16.588721
85 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 644.00 705.00 -2.301030 14.874677
86 46.800 44.0 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 732.00 755.00 -2.221849 14.874677
87 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 616.00 669.00 -2.397940 157.818024
88 46.800 44.0 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 672.00 764.00 -1.958607 157.818024
89 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 2 0 392.00 406.00 -1.853872 13.712759
90 50.500 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 2 0 320.00 470.00 -0.966576 13.712759
91 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 0 0 490.00 689.00 -1.080922 13.716443
92 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 2 0 480.00 530.00 -1.823909 13.716443
93 50.660 48.0 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 2 0 360.00 450.00 0.857332 13.716443
94 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 331.00 413.00 -1.638272 10.282391
95 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 0 310.00 430.00 -1.013228 10.282391
96 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 0 467.00 640.00 -1.744727 10.282391
97 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 0 404.00 630.00 -0.667562 10.282391
98 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 0 340.00 560.00 -0.443697 10.282391
99 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 510.00 597.00 -1.537602 10.282391
100 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 2 421.00 551.00 -1.283997 10.282391
101 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 405.00 465.50 -1.809668 16.354582
102 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 2 0 383.00 507.00 -1.508638 16.354582
103 48.400 47.0 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 307.00 435.00 -0.548982 16.354582
104 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 462.00 520.00 -2.221849 11.885850
105 49.800 47.3 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 364.00 424.00 -0.397940 11.885850
106 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 0 799.00 799.00 -1.207608 13.281420
107 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 773.00 885.00 -2.236572 13.281420
108 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 763.00 911.00 -2.086186 13.281420
109 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 806.00 981.00 -2.045757 13.281420
110 51.050 43.9 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 724.00 775.00 -2.522879 13.281420
111 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 578.00 670.00 -2.397940 14.659258
112 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 479.00 645.00 -1.124939 14.659258
113 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 753.00 975.00 -1.823909 14.659258
114 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 2 790.00 950.00 -0.602060 14.659258
115 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 689.00 820.00 -1.619789 14.659258
116 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 0 579.00 770.00 -0.397940 14.659258
117 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 624.00 860.00 -1.920819 14.659258
118 50.000 43.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 2 689.00 830.00 -0.508638 14.659258
119 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 0 2 503.00 705.00 -0.638272 8.516144
120 52.800 43.0 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 0 2 595.00 795.00 -0.920819 8.516144
121 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 607.00 895.00 -1.376751 17.468138
122 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 693.00 913.00 -0.769551 17.468138
123 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 532.00 774.00 -2.055517 17.468138
124 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 689.00 787.00 -2.356547 17.468138
125 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 745.00 963.00 -2.823909 17.468138
126 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 674.00 874.00 -2.107905 17.468138
127 45.000 46.0 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 631.00 867.00 -2.251812 17.468138
128 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 468.00 550.00 -2.522879 21.782815
129 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 421.00 620.00 -2.397940 21.782815
130 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 584.00 730.00 -2.397940 21.782815
131 49.500 47.0 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 567.00 650.00 -2.221849 21.782815
132 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 342.00 560.00 -2.698970 8.938634
133 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 457.00 560.00 -2.522879 8.938634
134 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 479.00 580.00 -2.397940 8.938634
135 58.000 40.0 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 424.00 600.00 -2.221849 8.938634
136 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 423.00 650.00 -2.346787 14.029892
137 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 2 465.00 680.00 -1.096910 14.029892
138 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 423.00 660.00 -1.000000 14.029892
139 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 413.00 660.00 -0.920819 14.029892
140 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 2 363.00 520.00 -0.397940 14.029892
141 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 2 467.00 526.00 -0.494850 14.029892
142 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 754.00 930.00 -2.070581 14.029892
143 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 2 745.00 890.00 -0.602060 14.029892
144 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 721.00 900.00 -0.154902 14.029892
145 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 497.00 500.00 0.008600 14.029892
146 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 2 345.00 480.00 0.217484 14.029892
147 50.500 43.0 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 579.00 780.00 0.120574 14.029892
148 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 524.00 736.50 0.089905 8.641287
149 55.800 44.2 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 364.00 546.00 0.214844 8.641287
150 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 0 2 579.00 776.00 -0.267606 63.872446
151 55.700 44.1 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 0 2 352.00 494.00 -0.327902 63.872446
152 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 0 2 503.00 780.00 -0.200659 173.333364
153 55.400 44.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 0 2 463.00 633.00 -0.468521 173.333364
154 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 0 2 683.00 803.00 -0.769551 281.353455
155 55.200 43.8 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 0 2 503.00 705.00 -0.552842 281.353455
156 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 0 2 604.00 806.00 -0.366532 387.981392
157 55.000 43.6 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 0 2 595.00 754.00 -0.431798 387.981392
158 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 640.00 896.00 -0.376751 16.521780
159 47.000 45.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 395.00 596.00 -0.638272 16.521780
160 54.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 0 2 406.00 629.00 -0.677781 801.897799
161 52.000 43.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 0 2 395.00 539.00 -0.508638 1296.813694
162 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 0 2 425.00 511.00 -2.301030 55.486654
163 47.700 43.0 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 0 2 340.00 426.00 -1.244125 55.486654
164 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 0 2 300.00 500.00 -1.522879 107.774260
165 53.000 46.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 405.00 680.00 -0.698970 9.063445
166 53.000 46.0 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 305.00 580.00 -0.698970 8.822925
167 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 494.00 1414.00 -0.638272 14.363931
168 46.500 44.0 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 547.00 1781.00 -0.602060 14.363931
169 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 962.00 1174.00 -1.995679 16.390814
170 44.000 48.0 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 681.00 777.00 -0.431798 16.390814
171 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 305.00 545.00 -1.869666 18.422745
172 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 323.00 562.00 -1.847712 18.422745
173 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 366.00 558.00 -1.879426 18.422745
174 43.000 47.0 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 358.00 573.00 -1.832683 18.422745
175 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 356.00 414.00 -1.091515 24.677530
176 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 364.00 552.00 -0.677781 24.677530
177 47.800 44.0 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 367.00 522.00 -0.494850 24.677530
178 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 462.00 580.00 -0.236572 13.338839
179 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 620.00 697.00 -1.397940 13.338839
180 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 715.00 770.00 -1.221849 13.338839
181 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 600.00 680.00 -1.522879 13.338839
182 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 460.00 505.00 -0.698970 13.338839
183 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 660.00 750.00 -1.823909 13.338839
184 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 690.00 760.00 -1.698970 13.338839
185 51.400 43.5 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 610.00 750.00 -1.698970 13.338839
186 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 497.00 536.00 -2.408935 12.921194
187 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 444.00 552.00 -1.085128 12.921194
188 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 506.00 771.00 -3.000000 12.921194
189 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 470.00 515.00 -0.036684 12.921194
190 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 528.00 735.00 -3.000000 12.921194
191 49.800 44.0 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 421.00 486.00 -0.123782 12.921194
192 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 943.00 1700.00 -0.173925 25.616113
193 48.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 356.00 420.00 -0.468521 25.616113
194 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 640.00 1780.00 -0.124939 25.659750
195 48.200 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 305.00 440.00 -0.080922 25.659750
196 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 850.00 1870.00 -0.075721 25.703717
197 47.800 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 395.00 465.00 -0.251812 25.703717
198 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 940.00 1900.00 -0.136677 25.748018
199 47.400 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 356.00 468.00 -0.142668 25.748018
200 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1032.00 2050.00 -0.070581 25.792657
201 47.000 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 305.00 550.00 -0.022276 25.792657
202 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1348.00 2030.00 -0.026872 25.837637
203 46.600 42.0 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 402.00 600.00 -0.468521 25.837637
204 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 615.00 1440.00 -0.193820 16.461811
205 42.000 44.9 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 204.00 392.00 -0.366532 16.461811
206 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 1 1665.00 2526.00 -0.492144 32.054137
207 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 0 2 780.00 2080.00 -0.552842 7.794381
208 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 2 780.00 2014.00 -0.070581 7.794381
209 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 680.00 1294.00 -0.468521 7.794381
210 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 420.00 1024.00 -0.267606 7.794381
211 50.000 45.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 0 2 200.00 840.00 -0.173925 7.794381
212 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 0 2 920.00 2250.00 -0.552842 12.731859
213 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 2 980.00 1943.00 -0.468521 12.731859
214 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 720.00 943.00 -0.443697 12.731859
215 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 430.00 693.00 -0.327902 12.731859
216 45.000 45.0 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 0 2 250.00 492.00 -0.638272 12.731859
217 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1917.00 2150.00 -1.823909 29.865389
218 28.000 45.0 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1483.00 2088.00 -1.337242 29.865389
219 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 2140.00 2643.00 -1.173925 26.552406
220 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1643.00 2567.00 -0.806875 26.552406
221 31.000 45.0 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1108.00 2687.00 -0.565431 26.552406
222 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1653.00 2514.00 -0.978811 22.745911
223 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1342.00 2274.00 -0.906578 22.745911
224 35.000 45.0 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 909.00 3106.00 -0.497573 22.745911
225 37.000 45.0 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1112.00 2321.00 -0.694649 26.270307
226 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 395.00 550.00 -2.096910 10.360102
227 49.000 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 309.00 400.00 -1.431798 10.360102
228 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 310.00 560.00 -1.978811 10.350292
229 48.800 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 300.00 500.00 -1.283997 10.350292
230 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 359.00 540.00 -2.000000 10.335507
231 48.500 47.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 305.00 470.00 -1.332547 10.335507
232 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 881.00 1113.00 -1.619789 39.935742
233 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 2 745.00 1070.00 -0.869666 39.935742
234 51.000 42.0 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 570.00 860.00 -0.468521 39.935742
235 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1100.00 1500.00 -1.301030 32.162537
236 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1500.00 1800.00 -0.721246 32.162537
237 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1520.00 2250.00 -0.602060 32.162537
238 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1560.00 2500.00 -0.508638 32.162537
239 50.000 25.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 1020.00 1500.00 -0.275724 32.162537
240 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 150.00 313.63 -2.096910 32.054137
241 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 191.74 392.67 -1.557520 32.054137
242 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 371.85 426.88 -1.485452 32.054137
243 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 224.61 353.31 -1.165579 32.054137
244 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 440.43 527.77 -1.465974 32.054137
245 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 341.45 430.78 -1.124939 32.054137
246 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 543.55 672.33 -1.295849 32.054137
247 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 506.31 625.22 -1.143271 32.054137
248 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 607.35 730.09 -1.371611 32.054137
249 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 486.25 607.78 -1.101275 32.054137
250 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 353.31 464.61 -1.571865 32.054137
251 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 385.97 468.56 -1.244888 32.054137
252 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 524.56 632.83 -1.496209 32.054137
253 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 508.36 620.53 -1.128427 32.054137
254 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 586.21 690.42 -1.468521 32.054137
255 53.000 22.0 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 536.24 645.41 -1.153045 32.054137
256 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 480.00 520.00 -2.045757 15.827890
257 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 475.00 520.00 -1.000000 15.827890
258 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 0 490.00 530.00 -2.000000 15.827890
259 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 0 500.00 600.00 -0.346787 15.827890
260 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 600.00 650.00 -1.886057 15.827890
261 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 500.00 640.00 -0.318759 15.827890
262 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 1 650.00 710.00 -1.744727 15.827890
263 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 1 520.00 650.00 -0.356547 15.827890
264 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 480.00 500.00 -1.823909 15.827890
265 47.700 45.0 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 500.00 625.00 -0.376751 15.827890
266 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 312.00 570.00 -2.318759 10.282391
267 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 360.00 584.00 -2.397940 10.282391
268 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 0 2 395.00 453.00 -2.522879 10.395446
269 45.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 0 2 445.00 640.00 -2.187087 10.395446
270 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 100.00 150.00 -2.119186 8.218772
271 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 102.00 200.00 -2.167491 8.218772
272 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 104.00 240.00 -2.055517 8.218772
273 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 149.00 300.00 -2.036212 8.218772
274 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 190.00 373.00 -1.838632 8.218772
275 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 0 204.00 506.00 -1.578396 10.282391
276 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 0 302.00 520.00 -1.438899 10.282391
277 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 0 2 460.00 604.00 -1.249492 20.622857
278 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 0 2 503.00 780.00 -1.465974 33.430417
279 51.000 49.0 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 705.00 1039.00 -1.060481 8.218772
280 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 3 2 503.00 805.00 -1.026872 10.282391
281 48.000 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 0 704.00 935.00 -0.978811 10.282391
282 47.280 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 0 0 893.00 1034.00 -0.939302 20.622857
283 46.380 48.0 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 3 2 935.00 1235.00 -0.903090 33.430417

2.17 Pearson Correlations

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The Pearson correlations between calculated cost values, yield strength, tensile strength and Elongation (Log 10) and each element's atomic percentages (%) with the encoded categorical variables (Synthesis Methods and Microstructure) was essential as it can estimate how well the (target variables (y) (cost, yield strength, tensile strength and Elongation (Log 10)) across all rows for every alloy, correlate with the independent variable (X) (atomic percentages (at%) of each element present in every alloy together with the encoded categorical variables (Synthesis Methods and Microstructure)) along each column.

The larger the positive Pearson correlation, the greater the influence of that particular independent variable (X) will be in predicting the output costs, yield strength, tensile strength and Elongation (Log 10). The larger the negative Pearson correlation, it is an indication that that particular independent variable (X) and the respective dependent target variable (y) are negatively correlated. The Pearson correlations were calculated using the pearsonr function from the scipy.state module.

In [24]:
# Determine Pearson Correlations to check how each parameter in each column correlates with the calculated input cost

Pearson_Ti_Cost = pearsonr(Encoded_Dataset["Ti(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Al_Cost = pearsonr(Encoded_Dataset["Al(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Mn_Cost = pearsonr(Encoded_Dataset["Mn(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Nb_Cost = pearsonr(Encoded_Dataset["Nb(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Cr_Cost = pearsonr(Encoded_Dataset["Cr(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0] 
Pearson_Mo_Cost = pearsonr(Encoded_Dataset["Mo(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_V_Cost = pearsonr(Encoded_Dataset["V(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Zr_Cost = pearsonr(Encoded_Dataset["Zr(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Hf_Cost = pearsonr(Encoded_Dataset["Hf(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Ta_Cost = pearsonr(Encoded_Dataset["Ta(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Si_Cost = pearsonr(Encoded_Dataset["Si(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_W_Cost = pearsonr(Encoded_Dataset["W(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_C_Cost = pearsonr(Encoded_Dataset["C(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_B_Cost = pearsonr(Encoded_Dataset["B(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Fe_Cost = pearsonr(Encoded_Dataset["Fe(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Ru_Cost = pearsonr(Encoded_Dataset["Ru(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Re_Cost = pearsonr(Encoded_Dataset["Re(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Ni_Cost = pearsonr(Encoded_Dataset["Ni(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_O_Cost = pearsonr(Encoded_Dataset["O(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Y_Cost = pearsonr(Encoded_Dataset["Y(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_TiB2_Cost = pearsonr(Encoded_Dataset["TiB2(at%)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Test_Temperature_Cost = pearsonr(Encoded_Dataset["Test Temperature (°C)"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Synthesis_Cost = pearsonr(Encoded_Dataset["Synthesis Methods"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Microstructure_Cost = pearsonr(Encoded_Dataset["Microstructure"], Encoded_Dataset["Cost (USD/kg)"])[0]
Pearson_Cost_Cost = pearsonr(Encoded_Dataset["Cost (USD/kg)"], Encoded_Dataset["Cost (USD/kg)"])[0]
In [25]:
# Determine Pearson Correlations to check how each parameter in each column correlates with the yield strength

Pearson_Ti_Yield_Strength = pearsonr(Encoded_Dataset["Ti(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Al_Yield_Strength = pearsonr(Encoded_Dataset["Al(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Mn_Yield_Strength = pearsonr(Encoded_Dataset["Mn(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Nb_Yield_Strength = pearsonr(Encoded_Dataset["Nb(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Cr_Yield_Strength = pearsonr(Encoded_Dataset["Cr(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0] 
Pearson_Mo_Yield_Strength = pearsonr(Encoded_Dataset["Mo(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_V_Yield_Strength = pearsonr(Encoded_Dataset["V(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Zr_Yield_Strength = pearsonr(Encoded_Dataset["Zr(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Hf_Yield_Strength = pearsonr(Encoded_Dataset["Hf(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Ta_Yield_Strength = pearsonr(Encoded_Dataset["Ta(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Si_Yield_Strength = pearsonr(Encoded_Dataset["Si(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_W_Yield_Strength = pearsonr(Encoded_Dataset["W(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_C_Yield_Strength = pearsonr(Encoded_Dataset["C(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_B_Yield_Strength = pearsonr(Encoded_Dataset["B(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Fe_Yield_Strength = pearsonr(Encoded_Dataset["Fe(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Ru_Yield_Strength = pearsonr(Encoded_Dataset["Ru(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Re_Yield_Strength = pearsonr(Encoded_Dataset["Re(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Ni_Yield_Strength = pearsonr(Encoded_Dataset["Ni(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_O_Yield_Strength = pearsonr(Encoded_Dataset["O(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Y_Yield_Strength = pearsonr(Encoded_Dataset["Y(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_TiB2_Yield_Strength = pearsonr(Encoded_Dataset["TiB2(at%)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Test_Temperature_Yield_Strength = pearsonr(Encoded_Dataset["Test Temperature (°C)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Synthesis_Yield_Strength = pearsonr(Encoded_Dataset["Synthesis Methods"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Microstructure_Yield_Strength = pearsonr(Encoded_Dataset["Microstructure"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Cost_Yield_Strength = pearsonr(Encoded_Dataset["Cost (USD/kg)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
Pearson_Yield_Yield_Strength = pearsonr(Encoded_Dataset["Yield Strength (MPa)"], Encoded_Dataset["Yield Strength (MPa)"])[0]
In [26]:
# Determine Pearson Correlations to check how each parameter in each column correlates with the tensile strength

Pearson_Ti_Tensile_Strength = pearsonr(Encoded_Dataset["Ti(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Al_Tensile_Strength = pearsonr(Encoded_Dataset["Al(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Mn_Tensile_Strength = pearsonr(Encoded_Dataset["Mn(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Nb_Tensile_Strength = pearsonr(Encoded_Dataset["Nb(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Cr_Tensile_Strength = pearsonr(Encoded_Dataset["Cr(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0] 
Pearson_Mo_Tensile_Strength = pearsonr(Encoded_Dataset["Mo(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_V_Tensile_Strength = pearsonr(Encoded_Dataset["V(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Zr_Tensile_Strength = pearsonr(Encoded_Dataset["Zr(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Hf_Tensile_Strength = pearsonr(Encoded_Dataset["Hf(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Ta_Tensile_Strength = pearsonr(Encoded_Dataset["Ta(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Si_Tensile_Strength = pearsonr(Encoded_Dataset["Si(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_W_Tensile_Strength = pearsonr(Encoded_Dataset["W(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_C_Tensile_Strength = pearsonr(Encoded_Dataset["C(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_B_Tensile_Strength = pearsonr(Encoded_Dataset["B(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Fe_Tensile_Strength = pearsonr(Encoded_Dataset["Fe(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Ru_Tensile_Strength = pearsonr(Encoded_Dataset["Ru(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Re_Tensile_Strength = pearsonr(Encoded_Dataset["Re(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Ni_Tensile_Strength = pearsonr(Encoded_Dataset["Ni(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_O_Tensile_Strength = pearsonr(Encoded_Dataset["O(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Y_Tensile_Strength = pearsonr(Encoded_Dataset["Y(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_TiB2_Tensile_Strength = pearsonr(Encoded_Dataset["TiB2(at%)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Test_Temperature_Tensile_Strength = pearsonr(Encoded_Dataset["Test Temperature (°C)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Synthesis_Tensile_Strength = pearsonr(Encoded_Dataset["Synthesis Methods"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Microstructure_Tensile_Strength = pearsonr(Encoded_Dataset["Microstructure"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Cost_Tensile_Strength = pearsonr(Encoded_Dataset["Cost (USD/kg)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Yield_Tensile_Strength = pearsonr(Encoded_Dataset["Yield Strength (MPa)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
Pearson_Tensile_Tensile_Strength = pearsonr(Encoded_Dataset["Tensile Strength (MPa)"], Encoded_Dataset["Tensile Strength (MPa)"])[0]
In [27]:
# Determine Pearson Correlations to check how each parameter in each column correlates with the elongation

Pearson_Ti_Elongation = pearsonr(TiAl_Input_drop["Ti(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Al_Elongation = pearsonr(TiAl_Input_drop["Al(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Mn_Elongation = pearsonr(TiAl_Input_drop["Mn(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Nb_Elongation = pearsonr(TiAl_Input_drop["Nb(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Cr_Elongation = pearsonr(TiAl_Input_drop["Cr(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0] 
Pearson_Mo_Elongation = pearsonr(TiAl_Input_drop["Mo(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_V_Elongation = pearsonr(TiAl_Input_drop["V(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Zr_Elongation = pearsonr(TiAl_Input_drop["Zr(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Hf_Elongation = pearsonr(TiAl_Input_drop["Hf(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Ta_Elongation = pearsonr(TiAl_Input_drop["Ta(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Si_Elongation = pearsonr(TiAl_Input_drop["Si(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_W_Elongation = pearsonr(TiAl_Input_drop["W(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_C_Elongation = pearsonr(TiAl_Input_drop["C(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_B_Elongation = pearsonr(TiAl_Input_drop["B(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Fe_Elongation = pearsonr(TiAl_Input_drop["Fe(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Ru_Elongation = pearsonr(TiAl_Input_drop["Ru(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Re_Elongation = pearsonr(TiAl_Input_drop["Re(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Ni_Elongation = pearsonr(TiAl_Input_drop["Ni(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_O_Elongation = pearsonr(TiAl_Input_drop["O(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Y_Elongation = pearsonr(TiAl_Input_drop["Y(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_TiB2_Elongation = pearsonr(TiAl_Input_drop["TiB2(at%)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Test_Temperature_Elongation = pearsonr(TiAl_Input_drop["Test Temperature (°C)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Synthesis_Elongation = pearsonr(Encoded_Dataset["Synthesis Methods"], Encoded_Dataset["Log 10 (Elongation)"])[0]
Pearson_Microstructure_Elongation = pearsonr(Encoded_Dataset["Microstructure"], Encoded_Dataset["Log 10 (Elongation)"])[0]
Pearson_Cost_Elongation = pearsonr(TiAl_Input_drop["Cost (USD/kg)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Yield_Elongation = pearsonr(TiAl_Input_drop["Yield Strength (MPa)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Tensile_Elongation = pearsonr(TiAl_Input_drop["Tensile Strength (MPa)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]
Pearson_Elongation_Elongation = pearsonr(TiAl_Input_drop["Log 10 (Elongation)"], TiAl_Input_drop["Log 10 (Elongation)"])[0]

2.18 Additional Columns for Pearson Correlations Into Independent Dataframe

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Once the Pearson correlations were calculated, the respective values were added into a newly defined independent dataframe where the column name represented the 4 target variables (y) and the rows contained the names of each element present. Each intersection of every row containing the names of every element present and every column containing the 4 target variables (y), will contain the Pearson correlation between that respective element's atomic percentages (at%) and each of the 4 target variables (y).

In [28]:
# Insert all calculated Pearson Correlations for Cost, Yield Strength, Tensile Strength and Elongation

Pearson_Correlations = {"Yield Strength (MPa)":[Pearson_Ti_Yield_Strength, Pearson_Al_Yield_Strength, 
                                                Pearson_Mn_Yield_Strength, Pearson_Nb_Yield_Strength, 
                                                Pearson_Cr_Yield_Strength, Pearson_Mo_Yield_Strength, 
                                                Pearson_V_Yield_Strength, Pearson_Zr_Yield_Strength, 
                                                Pearson_Hf_Yield_Strength, Pearson_Ta_Yield_Strength, 
                                                Pearson_Si_Yield_Strength, Pearson_W_Yield_Strength, 
                                                Pearson_C_Yield_Strength, Pearson_B_Yield_Strength, 
                                                Pearson_Fe_Yield_Strength, Pearson_Ru_Yield_Strength, 
                                                Pearson_Re_Yield_Strength, Pearson_Ni_Yield_Strength, 
                                                Pearson_O_Yield_Strength, Pearson_Y_Yield_Strength, 
                                                Pearson_TiB2_Yield_Strength, Pearson_Test_Temperature_Yield_Strength,
                                                Pearson_Synthesis_Yield_Strength, Pearson_Microstructure_Yield_Strength,
                                                Pearson_Yield_Yield_Strength, Pearson_Yield_Tensile_Strength, 
                                                Pearson_Yield_Elongation, Pearson_Cost_Yield_Strength],
                       
                        
                        "Tensile Strength (MPa)":[Pearson_Ti_Tensile_Strength, Pearson_Al_Tensile_Strength, 
                                                  Pearson_Mn_Tensile_Strength, Pearson_Nb_Tensile_Strength, 
                                                  Pearson_Cr_Tensile_Strength, Pearson_Mo_Tensile_Strength, 
                                                  Pearson_V_Tensile_Strength, Pearson_Zr_Tensile_Strength, 
                                                  Pearson_Hf_Tensile_Strength, Pearson_Ta_Tensile_Strength, 
                                                  Pearson_Si_Tensile_Strength, Pearson_W_Tensile_Strength, 
                                                  Pearson_C_Tensile_Strength,Pearson_B_Tensile_Strength, 
                                                  Pearson_Fe_Tensile_Strength, Pearson_Ru_Tensile_Strength, 
                                                  Pearson_Re_Tensile_Strength, Pearson_Ni_Tensile_Strength, 
                                                  Pearson_O_Tensile_Strength, Pearson_Y_Tensile_Strength, 
                                                  Pearson_TiB2_Tensile_Strength, Pearson_Test_Temperature_Tensile_Strength,
                                                  Pearson_Synthesis_Tensile_Strength, Pearson_Microstructure_Tensile_Strength,
                                                  Pearson_Yield_Tensile_Strength, Pearson_Tensile_Tensile_Strength, 
                                                  Pearson_Tensile_Elongation,  Pearson_Cost_Tensile_Strength],
                       
                        
                       "Log 10 (Elongation)":[Pearson_Ti_Elongation, Pearson_Al_Elongation, Pearson_Mn_Elongation, 
                                              Pearson_Nb_Elongation, Pearson_Cr_Elongation, Pearson_Mo_Elongation, 
                                              Pearson_V_Elongation, Pearson_Zr_Elongation, Pearson_Hf_Elongation, 
                                              Pearson_Ta_Elongation, Pearson_Si_Elongation, Pearson_W_Elongation, 
                                              Pearson_C_Elongation,Pearson_B_Elongation, Pearson_Fe_Elongation, 
                                              Pearson_Ru_Elongation, Pearson_Re_Elongation, Pearson_Ni_Elongation, 
                                              Pearson_O_Elongation, Pearson_Y_Elongation, Pearson_TiB2_Elongation, 
                                              Pearson_Test_Temperature_Elongation, Pearson_Synthesis_Elongation,
                                              Pearson_Microstructure_Elongation, Pearson_Yield_Elongation, 
                                              Pearson_Tensile_Elongation, Pearson_Elongation_Elongation, 
                                              Pearson_Cost_Elongation],
                       
                       
                       "Cost (USD/kg)":[Pearson_Ti_Cost, Pearson_Al_Cost, Pearson_Mn_Cost, Pearson_Nb_Cost, Pearson_Cr_Cost, 
                                         Pearson_Mo_Cost, Pearson_V_Cost, Pearson_Zr_Cost, Pearson_Hf_Cost, Pearson_Ta_Cost, 
                                         Pearson_Si_Cost, Pearson_W_Cost, Pearson_C_Cost, Pearson_B_Cost, Pearson_Fe_Cost, 
                                         Pearson_Ru_Cost, Pearson_Re_Cost, Pearson_Ni_Cost, Pearson_O_Cost, Pearson_Y_Cost, 
                                         Pearson_TiB2_Cost, Pearson_Test_Temperature_Cost, Pearson_Synthesis_Cost, 
                                         Pearson_Microstructure_Cost, Pearson_Cost_Yield_Strength, 
                                        Pearson_Cost_Tensile_Strength, Pearson_Cost_Elongation, Pearson_Cost_Cost]}


Pearson_Correlations_DataFrame = pd.DataFrame(Pearson_Correlations, index = ["Ti (at%)", "Al (at%)", "Mn (at%)", "Nb (at%)", 
                                                                             "Cr (at%)", "Mo (at%)", "V (at%)", "Zr (at%)", 
                                                                             "Hf (at%)", "Ta (at%)", "Si (at%)", "W (at%)", 
                                                                             "C (at%)", "B (at%)", "Fe (at%)", "Ru (at%)", 
                                                                             "Re (at%)", "Ni (at%)", "O (at%)", "Y (at%)", 
                                                                             "TiB2 (at%)", "Test Temperature (°C)", 
                                                                             "Synthesis Methods", "Microstructure", 
                                                                             "Yield Strength (MPa)", "Tensile Strength (MPa)", 
                                                                             "Log 10 (Elongation)", "Cost (USD/kg)"])

Pearson_Correlations_DataFrame
Out[28]:
Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg)
Ti (at%) -0.457113 -0.498954 -0.016347 0.145384
Al (at%) -0.194099 -0.150853 -0.097998 -0.054109
Mn (at%) -0.047556 -0.049060 -0.002170 -0.027250
Nb (at%) 0.417353 0.372250 0.072625 -0.061519
Cr (at%) 0.220100 0.280381 -0.045341 -0.105853
Mo (at%) 0.135609 0.113770 0.148050 -0.064858
V (at%) -0.052063 -0.070319 -0.048741 0.000624
Zr (at%) 0.061385 0.014106 -0.184026 -0.007942
Hf (at%) 0.046882 -0.013382 -0.163975 0.150980
Ta (at%) 0.029470 0.026132 -0.003671 0.009312
Si (at%) -0.050968 -0.082802 -0.176009 0.016875
W (at%) -0.062591 -0.090345 -0.123881 -0.047836
C (at%) 0.027612 0.146728 0.311001 -0.025702
B (at%) 0.115686 0.093366 0.136521 -0.031122
Fe (at%) 0.039772 0.220198 0.224545 -0.045456
Ru (at%) -0.034867 -0.033957 0.137365 0.980318
Re (at%) -0.051391 -0.033370 -0.018585 0.045287
Ni (at%) -0.037551 -0.039240 -0.119528 -0.019003
O (at%) -0.103533 -0.115270 0.021761 -0.037952
Y (at%) -0.040350 -0.046275 -0.013646 0.004814
TiB2 (at%) 0.019463 -0.001397 0.010183 -0.011712
Test Temperature (°C) -0.279728 -0.251764 0.572472 0.147966
Synthesis Methods 0.085640 -0.031307 -0.058594 -0.094777
Microstructure 0.138127 0.195047 0.080017 0.094702
Yield Strength (MPa) 1.000000 0.867486 0.093184 -0.001824
Tensile Strength (MPa) 0.867486 1.000000 0.261277 -0.015554
Log 10 (Elongation) 0.093184 0.261277 1.000000 0.111771
Cost (USD/kg) -0.001824 -0.015554 0.111771 1.000000

3. Linear Regression Machine Learning Model

3.1 Linear Regression (Cost)

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After the pre-processing steps to isolate the independent variables (X) (elements atomic percentages (at%)) and the defining of the target variable (y) (cost values) from the individual elements' cost values and weight percentages, both types of variables are then ready to be incorporated into the linear regression model from python's scikit-learn module.

The first step was to define the independent variables (X) which are the elements atomic percentages (at%) and the target variable (y) which are the calculated cost values. The seed value of 1234555 was chosen as it can give the lowest mean R2 error and as such, it can be used as the randomizing token for shuffling and randomizing of the datasets before splitting into the train and test sets for both the independent (X) and dependent (y) variables.

A low R2 error implies that the model can produce the predicted cost values very well with respect to the test values from the independent (X) variable (elements atomic percentages (at%)) and the R2 value can be as close to 1 which is the maximum value attainable where there is a perfect match between the predicted cost values (y_pred) and the test cost values (y_test) from the train, test split.

Once the 2 variables were defined, they were reshaped into numerical arrays according to their original dataframe dimensions using the reshape function to ensure that there are no letters and strings but only the numbers from the respective dataframes present within both variables. Following that, the training and testing variables were defined for the independent (X) and dependent (y) variables to store the split rows of both variables.

X_train was used to store the training dataset after splitting which will contain 80% of the randomized and shuffled rows containing the columns of the elements atomic percentages (at%) while the X_test will contain the remaining 20% of the randomized and shuffled rows containing the columns of the elements atomic percentages (at%). y_train was used to store the training dataset after splitting which will contain 80% of the randomized and shuffled rows containing the column of the cost values while the y_test will contain the remaining 20% of the randomized and shuffled rows containing the columns of the cost values.

All aforementioned train and test variables were defined with the train_test_split function from python's scikit-learn module and the reshaped independent (X) and dependent (y) datasets were incorporated with a split set to 0.8 (80%) for both X_train and y_train to produce the 80% training datasets and another split set to 0.2 (20%) for both X_test and y_test to produce the remaining 20% testing datasets.

The random seed value of 1234555 was incorporated as well to lock the randomizing and shuffling variation to that particular seed value as it can produce the lowest mean R2 error and produce the best predictions with a R2 value that was very close to 1. A 80:20 split will define the number of rows for the train data for both X and y variables to be 227 (80%) and the number of rows for test data for both X and y variables to be 57 (20%)

After defining all train and test variables, the linear regression model was defined as reg. Once the linear regression model was defined, the model was incorporated with the 80% X_train and y_train datasets to train the model. After model training, the y_pred which was the variable used to define the predicted cost outputs with respect to the 20% X_test and the output costs were predicted accordingly. The next step would be then to compute the R2 value which would test the predicted cost values from y_pred with the remaining 20% y_test cost values to determine the prediction feasibility.

The final step would be to compute the mean squared error which would test the predicted cost values from y_pred with the remaining 20% y_test cost values to determine the scale of errors for the predicted cost values (y_pred) against the remaining 20% cost values (y_test). The larger the mean squared error, the more inaccurate the predictions of the cost values (y_pred) will be with respect to the 20% test values (y_test).

Based on the fixed randomizing and shuffling of the independent (X) and dependent (y) variables by the seed value of 1234555, the mean squared error was found to be the lowest possible with a mean squared value of 0.52 and the corresponding R2 value of 0.9989 which is very close to 1, indicating an excellent fit of the linear regression model between the 20% (y_test) cost values and the predicted (y_pred) values. This outcome will be used for the in-depth analysis during the graphical representation illustrated further, to produce the visualisation of how well the predicted cost values (y_pred) correlate with the 20% (y_test) cost values.

The aluminium atomic percentage Al(at%) column was removed before application of the linear regression model due to it being one of the 2 balance elements and Alchemite predicted the cost values based on the principle that the sum of the atomic percentages (at%) of all alloying elements must be equal to 1, thereby, leaving out one of the balance element compositions which was also the aluminium atomic percentage Al(at%) column values.

Therefore, the same condition was incorporated into the linear regression model to provide a fair comparison between the predicted outputs generated by the linear regression model and ones generated by Alchemite with the respective R2 values and mean squared errors to evaluate both machine learning methods' performances and limitations. However, if the aluminium atomic percentage Al(at%) column is to be preserved, the titanium atomic percentage Ti(at%) can be removed instead as it is the other balance element.

In [29]:
# Linear regression model application 


Encoded_Dataset_drop_Al = Encoded_Dataset.drop(["Al(at%)"], axis=1)


# Random seed for randomizing (1234555 was chosen as it gave the lowest mean R2 error)

mySeed_Cost = np.random.seed(1234555)


# Define the independent X variable (composition columns (at%)) and dependent target (y) variable (calculated input cost)

X, y = Encoded_Dataset_drop_Al.loc[:, "Ti(at%)":"TiB2(at%)"], Encoded_Dataset_drop_Al["Cost (USD/kg)"]


# Reshape the indpendent and dependent variables into numerical arrays with the appropriate dimensions

X_reshape = X.values.reshape(284, 20)
y_reshape = y.values.reshape(-1, 1)


# Insert the reshaped independent and dependent arrays into 80% training datasets and 20% test datasets

X_train, X_test, y_train, y_test = train_test_split(X_reshape, y_reshape, train_size = 0.8, test_size = 0.2, 
                                                    random_state = mySeed_Cost)


# Defining and application of Linear Regression Model

reg = LinearRegression()


# Training of Linear Regression model with the independent (X) (X_train) and dependent (y) training datasets (y_train)

Trained_Model = reg.fit(X_train, y_train)


# Output prediction of costs with the independent (X) test dataset (X_test)

y_pred = reg.predict(X_test) ###


# R2 determination based on the comparison of the dependent (y) test datasets (y_test) and predicted costs (y_pred)

r2_score(y_test, y_pred)


# Print Mean R2 value and Mean Squared Error

print("R² (Linear Regression) = %.4f" % r2_score(y_test, y_pred))
print("Mean Squared Error = %.2f" % mean_squared_error(y_test, y_pred))
R² (Linear Regression) = 0.9989
Mean Squared Error = 0.52

3.2 Dataframe Representation of Predicted Output Cost Values with Input Target Cost Values

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Once the predicted cost values (y_pred) have been made according to (80:20) train-test split and the seed value of 1234555 for randomizing and shuffling, the predicted results were added into a independent dataframe which contained the remaining 20% (y_test) cost values and the predicted (y_pred) values in 2 seperate columns for visualisation of the predicted cost values (y_pred) against the 20% (y_test) actual cost values.

Nearly all of the predicted cost values (y_pred) have a near perfect match with the test cost values (y_test), hence the good R2 value of 0.9989 and the lowest mean squared error of 0.52 with a corresponding near perfect fit in the graphical representation illustrated below.

In [30]:
# Insert the predicted output cost values (y_pred) with the input target cost values calculated earlier (y_test)

y_pred_y_test_Comparison = pd.DataFrame(y_test, columns = ["Cost Values (y_test)"])
y_pred_y_test_Comparison.insert(1, "Cost Values (y_pred)", y_pred)
y_pred_y_test_Comparison
Out[30]:
Cost Values (y_test) Cost Values (y_pred)
0 14.659258 15.169384
1 10.282391 11.046716
2 13.712759 13.532547
3 13.562379 13.975668
4 13.551972 14.169768
5 10.360102 11.112930
6 10.282391 11.046716
7 14.659258 15.169384
8 13.338839 13.743884
9 12.731859 12.178673
10 58.727225 60.394838
11 55.486654 54.778530
12 26.552406 24.543799
13 33.430417 32.307067
14 25.659750 25.428151
15 32.054137 32.507028
16 21.545902 21.527582
17 32.054137 32.507028
18 10.282391 11.046716
19 13.716443 13.888073
20 32.162537 32.308385
21 13.712759 13.532547
22 32.061074 31.104951
23 14.874677 14.410994
24 16.390814 16.459691
25 14.659258 15.169384
26 10.282391 11.046716
27 21.782815 22.115788
28 8.396757 9.785264
29 8.218772 9.651939
30 157.818024 157.053589
31 10.282391 11.046716
32 16.354582 16.800889
33 10.282391 11.046716
34 9.014910 10.162423
35 13.712759 13.532547
36 33.430417 32.307067
37 28.939670 28.236510
38 13.716443 13.888073
39 13.338839 13.743884
40 10.335507 11.179706
41 10.282391 11.046716
42 32.162537 32.308385
43 18.422745 18.211289
44 32.054137 32.507028
45 14.659258 15.169384
46 12.731859 12.178673
47 24.677530 24.567735
48 11.885850 12.726585
49 14.029892 14.153191
50 13.712759 13.532547
51 10.718100 10.547687
52 32.054137 32.507028
53 14.029892 14.153191
54 9.014910 10.162423
55 12.731859 12.178673
56 14.659258 15.169384

3.3 Graphical Representation of Predicted Output Cost Values with Input Target Cost Values

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The graphical representation was made to show the visualisation of the predicted cost values (y_pred) against the 20% test cost values (y_test). The blue scatter plot represents the correlation relationship between the predicted cost values (y_pred) against the 20% test cost values (y_test).

The trendline was also calculated using a polynomial fit to produce the trendline of the blue scatter plot with its equation displayed. The R2 values produced from the linear regression model and the R2 value calculated from the trendline were also displayed accordingly. The R2 value from the linear regression model was 0.9989 while the one calculated from the trendline was 0.999.

Based on the comparison of the R2 values from both the linear regression model and the one from the trendline, both are almost identical and are very close to 1 due to the blue scatter plot having a near perfect fit of the predicted cost values (y_pred) against the 20% test cost values (y_test) and the red trendline having a near perfect match with the locations of the datapoints of the blue scatter plot of the predicted cost values (y_pred) against the 20% test cost values (y_test).

This graphical representation also amplifies the fact that the R2 values and the mean squared errors correspond to how well the predicted output of the linear regression model fits with the test data in general and the lower the mean squared error, the greater the predictions based on the test values and the lower the errors between each predicted output value and corresponding test value along each row.

In [31]:
# Create a graph of predicted output cost values (y_pred) against the calculated input target cost values (y_test)

# Graph is based on seed 1234555 which gives lowest mean squared errors

Cost_Plot = y_pred_y_test_Comparison.plot.scatter(x = "Cost Values (y_test)", y = "Cost Values (y_pred)", c="Blue", 
                                                  figsize = (10, 7))


Legend = plt.legend(["Cost Values (y_pred) Vs. Cost Values (y_test)"], title = None, bbox_to_anchor = (1, 0.9), 
                    loc = "lower left")

plt.gca().add_artist(Legend)


# Display trendline, respective equation and trendline R2 value

x = y_pred_y_test_Comparison["Cost Values (y_test)"]
y = y_pred_y_test_Comparison["Cost Values (y_pred)"]
z = np.polyfit(x, y, 1)
p = np.poly1d(z)
y_hat = np.poly1d(z)(x)

Text_Cost = f"y = {z[0]:0.3f}x{z[1]:+0.3f}\nR² (Trendline) = {r2_score(y, y_hat):0.3f}"

Trendline = plt.plot(x, p(x), c = "Red")

Legend_Reference = plt.legend(["Data Trendline"], title = None, bbox_to_anchor = (1, 0.9), loc = "upper left")


plt.title("Graph of Predicted Output Cost Values (y_pred) Vs. True Input Cost Values (y_test)")
plt.xlabel("True Input Cost Values (y_test)")
plt.ylabel("Predicted Output Cost Values (y_pred)")

print("Cost (Linear Regression)")
print(" ")
print("R² = %.4f" % r2_score(y_test, y_pred))
print("Mean Squared Error = %.2f" % mean_squared_error(y_test, y_pred))
print(" ")
print(Text_Cost)
print(" ")

plt.show()
Cost (Linear Regression)
 
R² = 0.9989
Mean Squared Error = 0.52
 
y = 0.990x+0.416
R² (Trendline) = 0.999
 

4. Multilayer Perceptron (MLP) Machine Learning Model

4.1 Multilayer Perceptron (MLP) Hyperparameters Optimization

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The purpose of trying to predict the cost with the multilayer perceptron (MLP) model is to verify if the multilayer perceptron (MLP) model can replicate the similar results seen when linear regression is used where the R2 = 0.9989 with the mean squared error of 0.52. The steps used for defining and sorting the independent variables (X) (elements atomic percentages (at%)) and the the target variable (y) (cost values) into the train values and test values were the same as with the linear regression model elaborated earlier.

The random seed value of 1234555 was incorporated as well to lock the randomizing and shuffling variation to that particular seed value so as to verify if the multilayer perceptron (MLP) model can produce the lowest mean R2 error that was derived from the linear regression and reproduce the best results which consisted of the R2 value of 0.9989 and the mean squared arror of 0.52. The 80:20 split was used to split the number of rows for the train data for both X and y variables to be 227 (80%) and the number of rows for test data for both X and y variables to be 57 (20%). Once the 2 variables were defined, they were reshaped into numerical arrays according to their original dataframe dimensions using the reshape function.

After defining all train and test variables, the muitilayer perceptron (MLP) model was defined as MLP. In order to train the model, the hyperparameters had to be tuned to produce the best parameters for the model to be able to train and predict the cost values from the elements atomic percentages (at%). The hyperparameters that were commonly tuned for the muitilayer perceptron (MLP) model were the hidden layer sizes, activation function, solver, alpha value, learning rate and maximum number of iterations.

The hidden layer sizes will determine how many hidden layers and how many neurons are to be used in every hidden layer. The number of hidden layers and neurons in the hidden layers are usually not easy to determine manually as the selection of the number of hidden layers and the number of neurons in the hidden layers are specific to different types of problems and the respective number of input and output variables. The best way to determine them will be through the RandomizedSearchCV and the RandomizedSearchCV will consist of a range of hidden layer neurons starting from 1 to 100 to choose from.

The activation function will determine how the summation of weights of the input feature variables in each layer of the neural network which are in this case, the elements atomic percentages (at%) is transformed into an output which will be the predicted cost values. As the multilayer perceptron (MLP) model can operate in linear or non-linear mode, the loss function which is essential in the solver function hyperparameter, must be differentiable so that the deep gradient descent can occur through differentiation with backwards propagation to determine the contributions to the loss function errors through all the layers and neurons in the layers and the method to attain the differentiable loss function is to use either a linear or non-linear function as the activation function. For cost prediction, as the linear regression was able to produce a high R2 value (R2 = 0.9989) with a mean squared error of 0.52, it can be assumed that a linear or non-linear activation function can be applied for the cost prediction and the results produced by the multilayer perceptron (MLP) model will be similar to that of the linear regression model if it chooses either the linear or non-linear activation function. However, this may not be the same for the yield strength, tensile strength and Elongation (Log 10) as the predictions and relationships can be non-linear. Therefore, the activation functions to choose from from the RandomizedSearchCV will consist of both the linear and non-linear functions.

The solver function will determine the backpropagation technique to use for the deep gradient descent with the underlying loss function. The deep gradient descent will occur through differentiation of the loss function and backwards propagation to determine the contributions to the loss function errors through all the layers and neurons in the layers. Once the contributions to the errors are discovered, it will try to adjust the weights accordingly and let the muitilayer perceptron (MLP) model run in forward propagation again with the newly adjusted weights. Deep gradient descent will then occur again to determine the sources of errors through the layers and neurons once again and the once again newly adjusted weights will be input into the muitilayer perceptron (MLP) model with forward propagation to determine more sources of errors throughout the layers and neurons. This process will keep repeating to minimise the loss function errors until the minimum area of the gradient descent curve is reached where the loss function is the smallest with the smallest amount of errors with convergence or when the loss function does not change anymore. The RandomizedSearchCV will consist of 3 solver functions to choose from.

The alpha value function is the L2 regularization penalty coefficient which is used to combat underfitting and overfitting by imposing a value for regularization. The value must be small and must be sufficient such that its not too high as it can lead to underfitting and not too low as it can lead to overfitting. The alpha value can also be integrated together with the loss function to create the regularised loss function with the application of the deep gradient descent technique used by the solver function to create the regularized deep gradient descent. The RandomizedSearchCV will consist of a range of alpha values starting from 0.0001 to 0.05 to choose from. The output will be the log of the chosen alpha value.

The learning rate will determine the number of input weights to be adjusted after each successive deep gradient descent from the differentiation of each successive loss function with successive backwards propagation which determines the successive contributions to the successive loss function errors through all the layers and neurons in the layers for reducing every successive loss function until the loss function is the smallest with the smallest amount of errors with convergence or when the loss function does not change anymore (local minima). The RandomizedSearchCV will consist of 2 types of learning rates to choose from and they are constant and adaptive.

The maximum number of iterations will determine how many forward propagations to impose through the summation of weights of the input feature variables in each layer of the neural network which are in this case, the elements atomic percentages (at%) are transformed into an output which will be the predicted cost values. The more the number of times the loss function is calculated with differentiation to allow deep gradient descent to occur with the larger the number of times the errors contributing to the loss function are determined with backwards propagation, the larger the number of times those errors discovered with each iteration will be rectified with weights adjustments to improve the overall loss function with gradient descent and forward propagation with each iteration until smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence. The RandomizedSearchCV will consist of a range of iteration values from 1 to 10000 to choose from.

To determine the best hyperparameters, the RandomizedSearchCV function was implemented with all the aforementioned hyperparameters to tune with nested cross validation value of 5 which will consist of a 80:20 (80% train and 20% test) split for each of the already 5 times split dataset from the original dataset which already has the 80:20 (80% train and 20% test) split.

4.2 Multilayer Perceptron (MLP) (Cost)

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After the pre-processing steps to isolate the independent variables (X) (elements atomic percentages (at%)) and the defining of the target variable (y) (cost values) from the individual elements' cost values and weight percentages, both types of variables were then incorporated into the muitilayer perceptron (MLP) model from python's scikit-learn module.

Once the hyperparameters to tune for the multilayer perceptron (MLP) model were defined in the Random_Grid_Cost dictionary variable, the Random_Grid_Cost together with the raw multilayer perceptron (MLP) model and a nested cross validation of 5 were defined together in the RandomizedSearchCV function, the RandomizedSearchCV function was executed and the apporpriate set of hyperparameter for the cost prediction were made. The selected hyperparameters were implemented into the raw multilayer perceptron (MLP) model and the model was trained with the 80% X_train_Cost_MLP and y_train_Cost_MLP datasets.

The y_Random_Reg_Cost_MLP_pred which was the variable used to define the predicted cost outputs with respect to the 20% X_test_Cost_MLP, was then executed with the trained multilayer perceptron (MLP) model with the selected hyperparameters according to the RandomizedSearchCV and the predicted cost values were determined. The R2 value for the prediction of the cost values with respect to the 20% y_test_Cost_MLP using the trained multilayer perceptron (MLP) with the selected hyperparameters from the RandomizedSearchCV was 0.9988 with a mean squared error of 0.52. Based on the hyperparameters chosen by the RandomizedSearchCV function, the number of hidden layers it chose was 1 with 58 neurons. This was based on the nested cross validation of the already split 80:20 (80% train and 20% test) dataset.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the solver it chose for the deep gradient descent and backwards propagation to reduce the loss function to determine the smallest loss for the loss function (gradient descent local minima) was the log-linear "lbfgs" which is also known as the limited-memory-BFGS activation function. This solver is non-linear but the logarithmic values are linear.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the alpha value it chose was 1.12 which is already a logarithmic value derived from the range of 0.0001 to 0.05. The value is not too high and not too low but this value can be problem specific and usually a value slightly larger than 1 is commonly used. Therefore, it can be a little difficult to tell if the model has been underfitted or overfitted but based on the value selected by the RandomizedSearchCV function, it can be assumed that the model is just nice due to the value of alpha not being greater than 3.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the learning rate it chose was constant which is a type of learning rate where the updating of the weights after each successive deep gradient descent is constant with improvement in every successive loss function with every successive gradient descent with back propagation until the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the maximum number of iterations it chose was 7914. This hyperparameter indicates how many forward propagations to impose through the summation of weights of the input feature variables in each layer of the neural network which are in this case, the elements atomic percentages (at%) are transformed into the output which will be the predicted cost values. The more the number of times the loss function is calculated with differentiation to allow deep gradient descent to occur with the larger the number of times the errors contributing to the loss function are determined with backwards propagation, the larger the number of times those errors discovered with each iteration will be rectified with weights adjustments to improve the overall loss function with gradient descent and forward propagation with each iteration until the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence. The value of 7914 indicates that the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence after 7914 iterations.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the activation function it chose was "identity" which is the basic activation function that is linear. This indicates that the prediction for cost values is actually linear and since it chose the linear activation function for the cost prediction, the multilayer perceptron (MLP) model will actually work similar to that of the linear regression model where the predicted relationship with the 20% test cost values will be linear based on the seed value of 1234555 for both models. This was proven to be true where the R2 value for the multilayer perceptron (MLP) model was 0.9988 with a mean squared error of 0.52 while the linear regression model had a R2 value of 0.9989 with a mean squared error of 0.52 and the results from the linear regression had the best fit. This indicates that the best regression method for cost prediction is the linear regression technique which can be applied by both the linear regression model and the multilayer perceptron (MLP) model through the use of the "identity" linear activation function as well as with the rest of the optimized hyperparameter selected by the RandomizedSearchCV function. This outcome will be used for the in-depth analysis during the graphical representation illustrated further, to produce the visualisation of how well the predicted cost values from the multilayer perceptron (MLP) model (y_Random_Reg_Cost_MLP_pred ) correlate with the 20% (y_test_Cost_MLP) cost values.

In [32]:
# MLP for Cost

mySeed_MLP = np.random.seed(1234555)

# Define the MLP regressor

MLP = MLPRegressor(random_state = mySeed_MLP, shuffle = True)


# Define the independent X variable and dependent target (y) variable 

X_Cost_MLP, y_Cost_MLP = Encoded_Dataset_drop_Al.loc[:, "Ti(at%)":"TiB2(at%)"], Encoded_Dataset_drop_Al["Cost (USD/kg)"]


# Reshape the data into arrays

X_reshape_Cost_MLP = X_Cost_MLP.values.reshape(284, 20)
y_reshape_Cost_MLP = y_Cost_MLP.values.reshape(-1, 1)


# Perform the train-test split

X_train_Cost_MLP, X_test_Cost_MLP, y_train_Cost_MLP, y_test_Cost_MLP = train_test_split(X_reshape_Cost_MLP, y_reshape_Cost_MLP, 
                                                                                        train_size = 0.8, test_size = 0.2)

# Intialize the random grid 

Random_Grid_Cost = {"hidden_layer_sizes": [int(a) for a in np.arange(1,100)], 
                    "activation": ["relu", "tanh", "identity", "logistic"], 
                    "solver": ["adam", "sgd", "lbfgs"], 
                    "alpha": [float(b) for b in np.logspace(0.0001,0.05)], 
                    "learning_rate": ["constant", "adaptive"], 
                    "max_iter": np.arange(1,10000,1)}


# Apply the RandomizedSearchCV

Random_Reg_Cost_MLP = RandomizedSearchCV(MLP, Random_Grid_Cost, n_jobs =- 1, cv = 5)


# Fit MLP using the optimized hyperparameters

Random_Reg_Cost_MLP.fit(X_train_Cost_MLP, y_train_Cost_MLP.ravel())

Random_Reg_Cost_MLP
Out[32]:
RandomizedSearchCV(cv=5, estimator=MLPRegressor(), n_jobs=-1,
                   param_distributions={'activation': ['relu', 'tanh',
                                                       'identity', 'logistic'],
                                        'alpha': [1.0002302850208247,
                                                  1.0025784544921414,
                                                  1.0049321365938482,
                                                  1.0072913442675548,
                                                  1.0096560904852534,
                                                  1.01202638824939,
                                                  1.014402250592935,
                                                  1.0167836905794556,
                                                  1.019170721303187,
                                                  1.0215633558891057,
                                                  1.023961607493,
                                                  1.0263654...
                                                  1.0556560693917905,
                                                  1.0581343580333953,
                                                  1.0606184647769075,
                                                  1.0631084032810711,
                                                  1.065604187236696,
                                                  1.0681058303667321,
                                                  1.0706133464263468, ...],
                                        'hidden_layer_sizes': [1, 2, 3, 4, 5, 6,
                                                               7, 8, 9, 10, 11,
                                                               12, 13, 14, 15,
                                                               16, 17, 18, 19,
                                                               20, 21, 22, 23,
                                                               24, 25, 26, 27,
                                                               28, 29, 30, ...],
                                        'learning_rate': ['constant',
                                                          'adaptive'],
                                        'max_iter': array([   1,    2,    3, ..., 9997, 9998, 9999]),
                                        'solver': ['adam', 'sgd', 'lbfgs']})
In [33]:
# MLP best parameters (cost)

Random_Reg_Cost_MLP.best_params_
Out[33]:
{'solver': 'lbfgs',
 'max_iter': 7914,
 'learning_rate': 'constant',
 'hidden_layer_sizes': 58,
 'alpha': 1.1193905407767515,
 'activation': 'identity'}
In [34]:
# MLP best estimator (cost)

Random_Reg_Cost_MLP.best_estimator_
Out[34]:
MLPRegressor(activation='identity', alpha=1.1193905407767515,
             hidden_layer_sizes=58, max_iter=7914, solver='lbfgs')
In [35]:
# MLP cost prediction

y_Random_Reg_Cost_MLP_pred = Random_Reg_Cost_MLP.predict(X_test_Cost_MLP)

print("R² Value: %.4f" % r2_score(y_test_Cost_MLP, y_Random_Reg_Cost_MLP_pred))
print("Mean Squared Error: %.2f" % mean_squared_error(y_test_Cost_MLP, y_Random_Reg_Cost_MLP_pred))
R² Value: 0.9988
Mean Squared Error: 0.52

4.3 Dataframe Representation of Predicted Output Cost Values (MLP) with Input Target Cost Values (MLP)

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Once the predicted cost values from the multilayer perceptron (MLP) model (y_Random_Reg_Cost_MLP_pred) have been made according to (80:20) train-test split and the seed value of 1234555 for randomizing and shuffling with hyperparameters optimization from the RandomSearchCV function, the predicted results were added into a independent dataframe which contained the remaining 20% (y_test_Cost_MLP) cost values and the predicted (y_Random_Reg_Cost_MLP_pred) cost values in 2 seperate columns for visualisation of the predicted cost values (y_Random_Reg_Cost_MLP_pred) against the 20% (y_test_Cost_MLP) actual cost values.

Nearly all of the predicted cost values (y_Random_Reg_Cost_MLP_pred) have a near perfect match with the test cost values (y_test_Cost_MLP), hence the good R2 value of 0.9988 and the lowest mean squared error of 0.52 with a corresponding near perfect fit in the graphical representation illustrated below. The R2 value also has a near perfect match with the one determined by the linear regression model which was 0.9989 and the mean squared error was exactly the same (0.52).

In [36]:
# Insert the MLP predicted output cost values with the input target cost values

MLP_Cost_Comparison = pd.DataFrame(y_test_Cost_MLP, columns = ["Cost Values MLP (y_test)"])
MLP_Cost_Comparison.insert(1, "Cost Values MLP (y_pred)", y_Random_Reg_Cost_MLP_pred)
MLP_Cost_Comparison
Out[36]:
Cost Values MLP (y_test) Cost Values MLP (y_pred)
0 14.659258 15.186515
1 10.282391 11.064986
2 13.712759 13.616386
3 13.562379 13.704834
4 13.551972 14.191711
5 10.360102 11.129772
6 10.282391 11.064986
7 14.659258 15.186515
8 13.338839 13.744403
9 12.731859 12.180622
10 58.727225 60.369253
11 55.486654 54.837077
12 26.552406 24.537801
13 33.430417 32.202356
14 25.659750 25.427744
15 32.054137 32.511438
16 21.545902 21.488325
17 32.054137 32.511438
18 10.282391 11.064986
19 13.716443 13.951159
20 32.162537 32.317081
21 13.712759 13.616386
22 32.061074 31.102882
23 14.874677 14.429175
24 16.390814 16.489562
25 14.659258 15.186515
26 10.282391 11.064986
27 21.782815 22.110400
28 8.396757 9.808152
29 8.218772 9.677743
30 157.818024 157.047723
31 10.282391 11.064986
32 16.354582 16.812044
33 10.282391 11.064986
34 9.014910 10.037760
35 13.712759 13.616386
36 33.430417 32.202356
37 28.939670 28.248670
38 13.716443 13.951159
39 13.338839 13.744403
40 10.335507 11.194702
41 10.282391 11.064986
42 32.162537 32.317081
43 18.422745 18.241106
44 32.054137 32.511438
45 14.659258 15.186515
46 12.731859 12.180622
47 24.677530 24.549556
48 11.885850 12.733645
49 14.029892 14.131553
50 13.712759 13.616386
51 10.718100 10.600549
52 32.054137 32.511438
53 14.029892 14.131553
54 9.014910 10.037760
55 12.731859 12.180622
56 14.659258 15.186515

4.4 Graphical Representation of Predicted Output Cost Values (MLP) with Input Target Cost Values (MLP)

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The graphical representation was made to show the visualisation of the predicted cost values from the hyperparameter optimized multilayer perceptron (MLP) model (y_Random_Reg_Cost_MLP_pred) against the 20% test cost values (y_test_Cost_MLP). The blue scatter plot represents the correlation relationship between the predicted cost values (y_Random_Reg_Cost_MLP_pred) against the 20% test cost values (y_test_Cost_MLP).

The trendline was also calculated using a polynomial fit to produce the trendline of the blue scatter plot with its equation displayed. The R2 values produced from the multilayer perceptron (MLP) model and the R2 value calculated from the trendline were also displayed accordingly. The R2 value from the multilayer perceptron (MLP) model was 0.9988 while the one calculated from the trendline was 0.990.

Based on the comparison of the R2 values from both the multilayer perceptron (MLP) model and the one from the trendline, both are almost identical and are very close to 1 due to the blue scatter plot having a near perfect fit of the predicted cost values (y_Random_Reg_Cost_MLP_pred) against the 20% test cost values (y_test_Cost_MLP) and the red trendline having a near perfect match with the locations of the datapoints of the blue scatter plot of the predicted cost values (y_Random_Reg_Cost_MLP_pred) against the 20% test cost values (y_test_Cost_MLP).

This graphical representation also amplifies the fact that the R2 values and the mean squared errors correspond to how well the predicted output of the multilayer perceptron (MLP) model fits with the test data in general and the lower the mean squared error, the greater the predictions based on the test values and the lower the errors between each predicted output value and corresponding test value along each row.

In [37]:
# MLP Cost Graph

Cost_Plot_MLP = MLP_Cost_Comparison.plot.scatter(x = "Cost Values MLP (y_test)", y = "Cost Values MLP (y_pred)", c="Blue", 
                                                 figsize = (10, 7))


Legend_Cost_MLP = plt.legend(["Cost Values MLP (y_pred) Vs. Cost Values MLP (y_test)"], title = None, bbox_to_anchor = (1, 0.9), 
                             loc = "lower left")

plt.gca().add_artist(Legend_Cost_MLP)


# Display trendline, respective equation and trendline R2 value

x_Cost_MLP = MLP_Cost_Comparison["Cost Values MLP (y_test)"]
y_Cost_MLP = MLP_Cost_Comparison["Cost Values MLP (y_pred)"]
z_Cost_MLP = np.polyfit(x_Cost_MLP, y_Cost_MLP, 1)
p_Cost_MLP = np.poly1d(z_Cost_MLP)
y_hat_Cost_MLP = np.poly1d(z_Cost_MLP)(x_Cost_MLP)

Text_Cost_MLP = f"y = {z_Cost_MLP[0]:0.3f}x{z_Cost_MLP[1]:+0.3f}\nR² (Trendline) = {r2_score(y_Cost_MLP, y_hat_Cost_MLP):0.3f}"

Trendline_MLP = plt.plot(x_Cost_MLP, p(x_Cost_MLP), c = "Red")

Legend_Reference_MLP = plt.legend(["Data Trendline"], title = None, bbox_to_anchor = (1, 0.9), loc = "upper left")


# Plotting of MLP Cost Graph

plt.title("Graph of Predicted Output Cost Values MLP (y_pred) Vs. True Input Cost Values MLP (y_test)")
plt.xlabel("True Input Cost Values MLP (y_test)")
plt.ylabel("Predicted Output Cost Values MLP (y_pred)")

print("Cost (MLP Regression)")
print(" ")
print("R² = %.4f" % r2_score(y_test_Cost_MLP, y_Random_Reg_Cost_MLP_pred))
print("Mean Squared Error = %.2f" % mean_squared_error(y_test_Cost_MLP, y_Random_Reg_Cost_MLP_pred))
print(" ")
print(Text_Cost_MLP)
print(" ")

plt.show()
Cost (MLP Regression)
 
R² = 0.9988
Mean Squared Error = 0.52
 
y = 0.990x+0.422
R² (Trendline) = 0.999
 

4.5 Yield Strength Best Parameters Selection (MLP)

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After using the multilayer perceptron (MLP) model to predict the cost values and comparing them with the results of the linear regression model, the next major task is to try to predict one of the three essential mechanical properties for which in this case, is the yield strength. Compared with cost, the yield strength is not easy to predict as the predicted relationship may not be linear as with cost. The values present in the yield strength column are also large which is an issue for machine learning to learn and comprehend which leads to a complex dataset with complex predictions.

The last obstacle is that if all the elements atomic percentages (at%) columns together with the encoded synthesis methods and microstructure columns are set as the independent (X) variables and the yield strength column is set as the dependent (y) variable which is to be predicted, the predictions can have a high chance to be inaccurate as some of the columns which have been set as the input columns have little to no correlations with the yield strength and their redundant correlations will cause the multilayer perceptron (MLP) model to take them into consideration and produce bad predictions with bad R2 values together with the nature of the complex dataset. The redundant correlations can be seen and compared in the pearson correlations table in section 2.17.

The first step in predicting the yield strength would be to do generalization. Generalization in this case, would be to implement the ordinary least squares (OLS) module to display all the columns that are to be used as the indpendent (X) input variables and set the dependent (y) variable to be the yield strength column. Generalization will be able to measure the p-values which are the probability values. A p-value of less than 0.05 is statistically significant and it implies that it has significance to the dependent (y) variable which is the yield strength and it rejects the null hypothesis. Any input variable with p-values larger than 0.05 will have little to no significance in the prediction of the yield strength as it retains the null hypothesis.

Therefore, the ordinary least squares (OLS) module will be executed as many times as possible with the removel of the input independent (X) variable that produces the largest p-value each time until all the leftover input independent (X) variables have their respective p-values below the threshold value of 0.05. The elimination of all input independent (X) variables using the ordinary least squares (OLS) module, were executed below until the leftover input independent (X) variables have their respective p-values below the threshold value of 0.05.

In [38]:
# Rename Encoded_Dataset_drop_Al to Encoded_Dataset_1

Encoded_Dataset_1 = Encoded_Dataset_drop_Al

Encoded_Dataset_1
Out[38]:
Ti(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg)
0 53.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 495.00 675.00 -1.638272 8.397526
1 52.986 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 2 502.00 690.00 -1.251812 8.396757
2 52.486 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 450.00 587.00 -1.455932 9.014910
3 52.986 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 550.00 679.00 -1.568636 8.396757
4 53.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 350.00 596.00 -1.508638 8.397526
5 52.986 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 405.00 568.00 -1.244125 8.396757
6 52.486 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 2 604.00 790.00 -1.920819 9.014910
7 52.986 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 0 2 450.00 687.00 -1.769551 8.396757
8 50.200 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 0 2 570.00 695.00 -1.823909 21.577647
9 50.200 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 0 2 440.00 650.00 -1.244125 21.577647
10 50.200 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 0 2 415.00 510.00 -0.721246 21.577647
11 48.200 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 0 2 402.00 482.00 -1.823909 21.545902
12 48.200 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 0 2 344.00 458.00 -1.102373 21.545902
13 50.500 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 425.00 520.00 -2.000000 10.718100
14 50.500 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 0 350.00 460.00 -1.602060 10.718100
15 49.000 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 2 648.00 717.00 -1.795880 13.562379
16 49.000 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 2 517.00 692.00 -1.267606 13.562379
17 48.300 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 462.00 579.00 -1.552842 11.628367
18 48.300 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 345.00 468.00 -0.397940 11.628367
19 48.300 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 473.00 557.00 -1.920819 11.628367
20 48.300 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 2 375.00 509.00 -1.494850 11.628367
21 48.300 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 2 2 362.00 485.00 -0.920819 11.628367
22 50.660 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 2 0 480.00 530.00 -1.823909 13.716443
23 50.660 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 2 0 360.00 450.00 -1.376751 13.716443
24 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 2 0 392.00 406.00 -1.853872 13.712759
25 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 2 0 345.00 476.00 -1.193820 13.712759
26 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 2 0 320.00 470.00 -0.966576 13.712759
27 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 0 0 490.00 567.00 -0.939302 13.712759
28 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 480.00 548.00 -1.638272 16.354582
29 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 2 0 383.00 507.00 -1.508638 16.354582
30 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 324.00 492.00 -0.259637 16.354582
31 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 330.00 383.00 -2.096910 16.354582
32 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 2 290.00 378.00 -1.823909 16.354582
33 39.000 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 465.00 566.00 -1.853872 6.468616
34 39.000 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 370.00 540.00 -0.853872 6.468616
35 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 331.00 413.00 -1.638272 10.282391
36 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 0 310.00 430.00 -1.193820 10.282391
37 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 0 480.00 679.00 -1.508638 10.282391
38 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 0 403.00 563.00 -0.397940 10.282391
39 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 0 330.00 475.00 -0.275724 10.282391
40 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 2 454.00 596.00 -2.301030 10.282391
41 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 2 405.00 508.00 -1.522879 10.282391
42 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 2 350.00 589.00 -0.721246 10.282391
43 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 510.00 597.00 -1.537602 10.282391
44 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 2 421.00 581.00 -1.283997 10.282391
45 49.250 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 429.00 516.00 -1.853872 10.367565
46 49.250 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 2 286.00 428.00 -0.876148 10.367565
47 49.250 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 0 2 368.00 531.00 -0.632644 10.367565
48 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 430.00 515.00 -2.000000 24.145406
49 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 363.00 495.00 -0.632644 24.145406
50 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 0 0 334.00 403.00 -0.835647 24.145406
51 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 326.00 422.00 -1.769551 10.282391
52 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 284.00 474.00 -1.292430 10.282391
53 49.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 458.00 536.00 -1.847712 10.360102
54 49.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 355.00 539.00 -1.468521 10.360102
55 47.000 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 563.00 685.00 -1.017729 11.335043
56 47.000 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 0 703.00 943.00 -1.283997 11.335043
57 47.000 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 486.00 604.00 -1.124939 11.335043
58 47.000 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 0 342.00 459.00 -1.075721 11.335043
59 47.000 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 0 263.00 432.00 -1.677781 11.335043
60 50.700 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 504.00 599.00 -2.050610 11.079164
61 50.700 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 413.00 571.00 -1.705534 11.079164
62 50.850 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 528.00 589.00 -2.236572 10.769301
63 50.850 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 440.00 532.00 -1.970616 10.769301
64 49.200 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 422.00 482.00 -1.995679 32.061074
65 49.200 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 359.00 524.00 -1.437707 32.061074
66 48.700 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 2 0 417.00 547.00 -1.950782 10.591698
67 48.700 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 2 2 331.00 587.00 -1.405607 10.591698
68 49.600 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 1 0 947.00 1070.00 -1.812479 13.551972
69 49.600 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 1 2 775.00 1015.00 -1.856985 13.551972
70 49.600 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 1 2 637.00 875.00 -3.000000 13.551972
71 49.600 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 1 2 810.00 964.00 -2.050610 13.551972
72 49.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 2 892.00 1092.00 -1.031517 10.360102
73 48.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 450.00 622.00 -0.966576 16.564500
74 48.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 624.00 662.00 -2.397940 16.564500
75 48.000 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 364.00 554.00 -1.283997 28.939670
76 48.000 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 686.00 713.00 -2.397940 28.939670
77 47.800 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 676.00 696.00 -2.522879 14.867037
78 47.800 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 632.00 706.00 -2.154902 14.867037
79 47.800 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 686.00 698.00 -2.698970 58.727225
80 47.800 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 671.00 750.00 -2.096910 58.727225
81 47.800 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 710.00 756.00 -2.522879 156.607365
82 47.800 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 643.00 687.00 -2.397940 156.607365
83 47.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 617.00 690.00 -2.096910 16.588721
84 47.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 733.00 817.00 -1.769551 16.588721
85 46.800 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 644.00 705.00 -2.301030 14.874677
86 46.800 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 732.00 755.00 -2.221849 14.874677
87 46.800 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 616.00 669.00 -2.397940 157.818024
88 46.800 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 672.00 764.00 -1.958607 157.818024
89 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 2 0 392.00 406.00 -1.853872 13.712759
90 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 2 0 320.00 470.00 -0.966576 13.712759
91 50.660 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 0 0 490.00 689.00 -1.080922 13.716443
92 50.660 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 2 0 480.00 530.00 -1.823909 13.716443
93 50.660 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 2 0 360.00 450.00 0.857332 13.716443
94 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 331.00 413.00 -1.638272 10.282391
95 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 0 310.00 430.00 -1.013228 10.282391
96 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 0 467.00 640.00 -1.744727 10.282391
97 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 0 404.00 630.00 -0.667562 10.282391
98 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 0 340.00 560.00 -0.443697 10.282391
99 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 510.00 597.00 -1.537602 10.282391
100 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 2 421.00 551.00 -1.283997 10.282391
101 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 405.00 465.50 -1.809668 16.354582
102 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 2 0 383.00 507.00 -1.508638 16.354582
103 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 307.00 435.00 -0.548982 16.354582
104 49.800 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 462.00 520.00 -2.221849 11.885850
105 49.800 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 364.00 424.00 -0.397940 11.885850
106 51.050 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 0 799.00 799.00 -1.207608 13.281420
107 51.050 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 773.00 885.00 -2.236572 13.281420
108 51.050 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 763.00 911.00 -2.086186 13.281420
109 51.050 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 806.00 981.00 -2.045757 13.281420
110 51.050 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 724.00 775.00 -2.522879 13.281420
111 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 578.00 670.00 -2.397940 14.659258
112 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 479.00 645.00 -1.124939 14.659258
113 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 753.00 975.00 -1.823909 14.659258
114 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 2 790.00 950.00 -0.602060 14.659258
115 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 689.00 820.00 -1.619789 14.659258
116 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 0 579.00 770.00 -0.397940 14.659258
117 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 624.00 860.00 -1.920819 14.659258
118 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 2 689.00 830.00 -0.508638 14.659258
119 52.800 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 0 2 503.00 705.00 -0.638272 8.516144
120 52.800 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 0 2 595.00 795.00 -0.920819 8.516144
121 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 607.00 895.00 -1.376751 17.468138
122 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 693.00 913.00 -0.769551 17.468138
123 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 532.00 774.00 -2.055517 17.468138
124 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 689.00 787.00 -2.356547 17.468138
125 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 745.00 963.00 -2.823909 17.468138
126 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 674.00 874.00 -2.107905 17.468138
127 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 631.00 867.00 -2.251812 17.468138
128 49.500 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 468.00 550.00 -2.522879 21.782815
129 49.500 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 421.00 620.00 -2.397940 21.782815
130 49.500 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 584.00 730.00 -2.397940 21.782815
131 49.500 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 567.00 650.00 -2.221849 21.782815
132 58.000 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 342.00 560.00 -2.698970 8.938634
133 58.000 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 457.00 560.00 -2.522879 8.938634
134 58.000 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 479.00 580.00 -2.397940 8.938634
135 58.000 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 424.00 600.00 -2.221849 8.938634
136 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 423.00 650.00 -2.346787 14.029892
137 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 2 465.00 680.00 -1.096910 14.029892
138 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 423.00 660.00 -1.000000 14.029892
139 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 413.00 660.00 -0.920819 14.029892
140 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 2 363.00 520.00 -0.397940 14.029892
141 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 2 467.00 526.00 -0.494850 14.029892
142 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 754.00 930.00 -2.070581 14.029892
143 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 2 745.00 890.00 -0.602060 14.029892
144 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 721.00 900.00 -0.154902 14.029892
145 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 497.00 500.00 0.008600 14.029892
146 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 2 345.00 480.00 0.217484 14.029892
147 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 579.00 780.00 0.120574 14.029892
148 55.800 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 524.00 736.50 0.089905 8.641287
149 55.800 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 364.00 546.00 0.214844 8.641287
150 55.700 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 0 2 579.00 776.00 -0.267606 63.872446
151 55.700 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 0 2 352.00 494.00 -0.327902 63.872446
152 55.400 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 0 2 503.00 780.00 -0.200659 173.333364
153 55.400 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 0 2 463.00 633.00 -0.468521 173.333364
154 55.200 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 0 2 683.00 803.00 -0.769551 281.353455
155 55.200 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 0 2 503.00 705.00 -0.552842 281.353455
156 55.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 0 2 604.00 806.00 -0.366532 387.981392
157 55.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 0 2 595.00 754.00 -0.431798 387.981392
158 47.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 640.00 896.00 -0.376751 16.521780
159 47.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 395.00 596.00 -0.638272 16.521780
160 54.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 0 2 406.00 629.00 -0.677781 801.897799
161 52.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 0 2 395.00 539.00 -0.508638 1296.813694
162 47.700 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 0 2 425.00 511.00 -2.301030 55.486654
163 47.700 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 0 2 340.00 426.00 -1.244125 55.486654
164 53.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 0 2 300.00 500.00 -1.522879 107.774260
165 53.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 405.00 680.00 -0.698970 9.063445
166 53.000 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 305.00 580.00 -0.698970 8.822925
167 46.500 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 494.00 1414.00 -0.638272 14.363931
168 46.500 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 547.00 1781.00 -0.602060 14.363931
169 44.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 962.00 1174.00 -1.995679 16.390814
170 44.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 681.00 777.00 -0.431798 16.390814
171 43.000 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 305.00 545.00 -1.869666 18.422745
172 43.000 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 323.00 562.00 -1.847712 18.422745
173 43.000 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 366.00 558.00 -1.879426 18.422745
174 43.000 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 358.00 573.00 -1.832683 18.422745
175 47.800 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 356.00 414.00 -1.091515 24.677530
176 47.800 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 364.00 552.00 -0.677781 24.677530
177 47.800 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 367.00 522.00 -0.494850 24.677530
178 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 462.00 580.00 -0.236572 13.338839
179 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 620.00 697.00 -1.397940 13.338839
180 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 715.00 770.00 -1.221849 13.338839
181 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 600.00 680.00 -1.522879 13.338839
182 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 460.00 505.00 -0.698970 13.338839
183 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 660.00 750.00 -1.823909 13.338839
184 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 690.00 760.00 -1.698970 13.338839
185 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 610.00 750.00 -1.698970 13.338839
186 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 497.00 536.00 -2.408935 12.921194
187 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 444.00 552.00 -1.085128 12.921194
188 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 506.00 771.00 -3.000000 12.921194
189 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 470.00 515.00 -0.036684 12.921194
190 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 528.00 735.00 -3.000000 12.921194
191 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 421.00 486.00 -0.123782 12.921194
192 48.600 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 943.00 1700.00 -0.173925 25.616113
193 48.600 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 356.00 420.00 -0.468521 25.616113
194 48.200 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 640.00 1780.00 -0.124939 25.659750
195 48.200 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 305.00 440.00 -0.080922 25.659750
196 47.800 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 850.00 1870.00 -0.075721 25.703717
197 47.800 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 395.00 465.00 -0.251812 25.703717
198 47.400 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 940.00 1900.00 -0.136677 25.748018
199 47.400 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 356.00 468.00 -0.142668 25.748018
200 47.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1032.00 2050.00 -0.070581 25.792657
201 47.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 305.00 550.00 -0.022276 25.792657
202 46.600 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1348.00 2030.00 -0.026872 25.837637
203 46.600 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 402.00 600.00 -0.468521 25.837637
204 42.000 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 615.00 1440.00 -0.193820 16.461811
205 42.000 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 204.00 392.00 -0.366532 16.461811
206 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 1 1665.00 2526.00 -0.492144 32.054137
207 50.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 0 2 780.00 2080.00 -0.552842 7.794381
208 50.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 2 780.00 2014.00 -0.070581 7.794381
209 50.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 680.00 1294.00 -0.468521 7.794381
210 50.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 420.00 1024.00 -0.267606 7.794381
211 50.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 0 2 200.00 840.00 -0.173925 7.794381
212 45.000 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 0 2 920.00 2250.00 -0.552842 12.731859
213 45.000 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 2 980.00 1943.00 -0.468521 12.731859
214 45.000 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 720.00 943.00 -0.443697 12.731859
215 45.000 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 430.00 693.00 -0.327902 12.731859
216 45.000 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 0 2 250.00 492.00 -0.638272 12.731859
217 28.000 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1917.00 2150.00 -1.823909 29.865389
218 28.000 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1483.00 2088.00 -1.337242 29.865389
219 31.000 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 2140.00 2643.00 -1.173925 26.552406
220 31.000 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1643.00 2567.00 -0.806875 26.552406
221 31.000 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1108.00 2687.00 -0.565431 26.552406
222 35.000 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1653.00 2514.00 -0.978811 22.745911
223 35.000 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1342.00 2274.00 -0.906578 22.745911
224 35.000 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 909.00 3106.00 -0.497573 22.745911
225 37.000 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1112.00 2321.00 -0.694649 26.270307
226 49.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 395.00 550.00 -2.096910 10.360102
227 49.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 309.00 400.00 -1.431798 10.360102
228 48.800 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 310.00 560.00 -1.978811 10.350292
229 48.800 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 300.00 500.00 -1.283997 10.350292
230 48.500 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 359.00 540.00 -2.000000 10.335507
231 48.500 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 305.00 470.00 -1.332547 10.335507
232 51.000 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 881.00 1113.00 -1.619789 39.935742
233 51.000 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 2 745.00 1070.00 -0.869666 39.935742
234 51.000 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 570.00 860.00 -0.468521 39.935742
235 50.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1100.00 1500.00 -1.301030 32.162537
236 50.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1500.00 1800.00 -0.721246 32.162537
237 50.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1520.00 2250.00 -0.602060 32.162537
238 50.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1560.00 2500.00 -0.508638 32.162537
239 50.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 1020.00 1500.00 -0.275724 32.162537
240 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 150.00 313.63 -2.096910 32.054137
241 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 191.74 392.67 -1.557520 32.054137
242 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 371.85 426.88 -1.485452 32.054137
243 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 224.61 353.31 -1.165579 32.054137
244 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 440.43 527.77 -1.465974 32.054137
245 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 341.45 430.78 -1.124939 32.054137
246 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 543.55 672.33 -1.295849 32.054137
247 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 506.31 625.22 -1.143271 32.054137
248 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 607.35 730.09 -1.371611 32.054137
249 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 486.25 607.78 -1.101275 32.054137
250 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 353.31 464.61 -1.571865 32.054137
251 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 385.97 468.56 -1.244888 32.054137
252 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 524.56 632.83 -1.496209 32.054137
253 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 508.36 620.53 -1.128427 32.054137
254 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 586.21 690.42 -1.468521 32.054137
255 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 536.24 645.41 -1.153045 32.054137
256 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 480.00 520.00 -2.045757 15.827890
257 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 475.00 520.00 -1.000000 15.827890
258 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 0 490.00 530.00 -2.000000 15.827890
259 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 0 500.00 600.00 -0.346787 15.827890
260 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 600.00 650.00 -1.886057 15.827890
261 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 500.00 640.00 -0.318759 15.827890
262 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 1 650.00 710.00 -1.744727 15.827890
263 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 1 520.00 650.00 -0.356547 15.827890
264 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 480.00 500.00 -1.823909 15.827890
265 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 500.00 625.00 -0.376751 15.827890
266 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 312.00 570.00 -2.318759 10.282391
267 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 360.00 584.00 -2.397940 10.282391
268 45.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 0 2 395.00 453.00 -2.522879 10.395446
269 45.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 0 2 445.00 640.00 -2.187087 10.395446
270 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 100.00 150.00 -2.119186 8.218772
271 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 102.00 200.00 -2.167491 8.218772
272 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 104.00 240.00 -2.055517 8.218772
273 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 149.00 300.00 -2.036212 8.218772
274 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 190.00 373.00 -1.838632 8.218772
275 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 0 204.00 506.00 -1.578396 10.282391
276 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 0 302.00 520.00 -1.438899 10.282391
277 47.280 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 0 2 460.00 604.00 -1.249492 20.622857
278 46.380 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 0 2 503.00 780.00 -1.465974 33.430417
279 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 705.00 1039.00 -1.060481 8.218772
280 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 3 2 503.00 805.00 -1.026872 10.282391
281 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 0 704.00 935.00 -0.978811 10.282391
282 47.280 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 0 0 893.00 1034.00 -0.939302 20.622857
283 46.380 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 3 2 935.00 1235.00 -0.903090 33.430417
In [39]:
# Execute Ordinary Least Squares Module (OLS)

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "Si(at%)", "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Re(at%)", "Ni(at%)", "O(at%)", 
                          "Y(at%)", "TiB2(at%)", "Test Temperature (°C)", "Synthesis Methods", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[39]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.860
Model: OLS Adj. R-squared (uncentered): 0.847
Method: Least Squares F-statistic: 69.45
Date: Mon, 06 Sep 2021 Prob (F-statistic): 2.53e-97
Time: 20:55:39 Log-Likelihood: -1949.5
No. Observations: 284 AIC: 3945.
Df Residuals: 261 BIC: 4029.
Df Model: 23
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 5.7226 0.888 6.446 0.000 3.975 7.471
Mn(at%) 10.6805 10.919 0.978 0.329 -10.820 32.181
Nb(at%) 18.8432 2.728 6.908 0.000 13.472 24.215
Cr(at%) 104.8834 13.528 7.753 0.000 78.245 131.521
Mo(at%) 114.8525 33.592 3.419 0.001 48.707 180.998
V(at%) 31.3510 17.594 1.782 0.076 -3.292 65.994
Zr(at%) 53.0253 31.495 1.684 0.093 -8.991 115.042
Hf(at%) 60.7005 34.872 1.741 0.083 -7.965 129.366
Ta(at%) 48.7889 41.380 1.179 0.239 -32.693 130.271
Si(at%) -242.0689 319.768 -0.757 0.450 -871.723 387.585
W(at%) 154.3153 82.924 1.861 0.064 -8.970 317.601
C(at%) 2.9836 26.369 0.113 0.910 -48.939 54.906
B(at%) 179.5952 50.976 3.523 0.001 79.219 279.971
Fe(at%) 68.1585 16.572 4.113 0.000 35.527 100.790
Ru(at%) 89.6692 40.417 2.219 0.027 10.085 169.253
Re(at%) 106.7288 580.208 0.184 0.854 -1035.756 1249.214
Ni(at%) -49.7809 58.138 -0.856 0.393 -164.261 64.699
O(at%) 661.0055 480.023 1.377 0.170 -284.204 1606.215
Y(at%) -292.4137 595.080 -0.491 0.624 -1464.183 879.356
TiB2(at%) 168.5829 82.342 2.047 0.042 6.444 330.721
Test Temperature (°C) -0.1739 0.042 -4.155 0.000 -0.256 -0.091
Synthesis Methods 10.7582 16.050 0.670 0.503 -20.847 42.363
Microstructure 34.3601 19.104 1.799 0.073 -3.258 71.978
Omnibus: 29.627 Durbin-Watson: 1.147
Prob(Omnibus): 0.000 Jarque-Bera (JB): 51.554
Skew: 0.606 Prob(JB): 6.39e-12
Kurtosis: 4.700 Cond. No. 2.32e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.32e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [40]:
# Remove C

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "Si(at%)", "W(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Re(at%)", "Ni(at%)", "O(at%)", 
                          "Y(at%)", "TiB2(at%)", "Test Temperature (°C)", "Synthesis Methods", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[40]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.860
Model: OLS Adj. R-squared (uncentered): 0.848
Method: Least Squares F-statistic: 72.88
Date: Mon, 06 Sep 2021 Prob (F-statistic): 2.94e-98
Time: 20:55:39 Log-Likelihood: -1949.5
No. Observations: 284 AIC: 3943.
Df Residuals: 262 BIC: 4023.
Df Model: 22
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 5.7227 0.886 6.459 0.000 3.978 7.467
Mn(at%) 10.6839 10.898 0.980 0.328 -10.776 32.144
Nb(at%) 18.8660 2.715 6.948 0.000 13.519 24.213
Cr(at%) 104.7949 13.480 7.774 0.000 78.252 131.338
Mo(at%) 114.2463 33.100 3.452 0.001 49.071 179.421
V(at%) 31.2717 17.546 1.782 0.076 -3.278 65.822
Zr(at%) 52.3898 30.932 1.694 0.092 -8.517 113.296
Hf(at%) 60.3680 34.682 1.741 0.083 -7.923 128.659
Ta(at%) 50.0689 39.729 1.260 0.209 -28.160 128.298
Si(at%) -243.3602 318.962 -0.763 0.446 -871.415 384.695
W(at%) 154.4041 82.764 1.866 0.063 -8.563 317.371
B(at%) 181.8345 46.889 3.878 0.000 89.508 274.161
Fe(at%) 68.0032 16.484 4.125 0.000 35.546 100.460
Ru(at%) 89.4544 40.296 2.220 0.027 10.109 168.799
Re(at%) 106.5095 579.111 0.184 0.854 -1033.795 1246.814
Ni(at%) -49.9886 58.000 -0.862 0.390 -164.194 64.216
O(at%) 669.0251 473.866 1.412 0.159 -264.045 1602.095
Y(at%) -293.0894 593.928 -0.493 0.622 -1462.569 876.391
TiB2(at%) 168.2427 82.132 2.048 0.042 6.521 329.965
Test Temperature (°C) -0.1740 0.042 -4.170 0.000 -0.256 -0.092
Synthesis Methods 10.4481 15.785 0.662 0.509 -20.634 41.530
Microstructure 34.7376 18.775 1.850 0.065 -2.232 71.707
Omnibus: 29.619 Durbin-Watson: 1.146
Prob(Omnibus): 0.000 Jarque-Bera (JB): 51.487
Skew: 0.606 Prob(JB): 6.60e-12
Kurtosis: 4.698 Cond. No. 2.32e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.32e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [41]:
# Remove Re

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "Si(at%)", "W(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "Y(at%)", "TiB2(at%)", "Test Temperature (°C)", "Synthesis Methods", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[41]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.860
Model: OLS Adj. R-squared (uncentered): 0.848
Method: Least Squares F-statistic: 76.63
Date: Mon, 06 Sep 2021 Prob (F-statistic): 3.37e-99
Time: 20:55:39 Log-Likelihood: -1949.5
No. Observations: 284 AIC: 3941.
Df Residuals: 263 BIC: 4018.
Df Model: 21
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 5.7253 0.884 6.474 0.000 3.984 7.466
Mn(at%) 10.6206 10.873 0.977 0.330 -10.788 32.030
Nb(at%) 18.8358 2.705 6.963 0.000 13.509 24.163
Cr(at%) 104.7868 13.455 7.788 0.000 78.293 131.280
Mo(at%) 113.9344 32.995 3.453 0.001 48.966 178.903
V(at%) 31.1871 17.508 1.781 0.076 -3.287 65.661
Zr(at%) 50.8855 29.776 1.709 0.089 -7.744 109.515
Hf(at%) 58.7760 33.523 1.753 0.081 -7.231 124.783
Ta(at%) 49.9391 39.650 1.260 0.209 -28.132 128.011
Si(at%) -211.8786 268.647 -0.789 0.431 -740.850 317.093
W(at%) 147.4546 73.500 2.006 0.046 2.732 292.177
B(at%) 181.5650 46.780 3.881 0.000 89.455 273.675
Fe(at%) 67.9107 16.446 4.129 0.000 35.529 100.293
Ru(at%) 89.2505 40.207 2.220 0.027 10.083 168.418
Ni(at%) -50.1377 57.887 -0.866 0.387 -164.120 63.844
O(at%) 667.3508 472.907 1.411 0.159 -263.816 1598.517
Y(at%) -293.2393 592.836 -0.495 0.621 -1460.547 874.069
TiB2(at%) 167.8107 81.947 2.048 0.042 6.455 329.166
Test Temperature (°C) -0.1740 0.042 -4.177 0.000 -0.256 -0.092
Synthesis Methods 10.5937 15.736 0.673 0.501 -20.391 41.579
Microstructure 34.9404 18.708 1.868 0.063 -1.897 71.778
Omnibus: 29.585 Durbin-Watson: 1.146
Prob(Omnibus): 0.000 Jarque-Bera (JB): 51.464
Skew: 0.605 Prob(JB): 6.68e-12
Kurtosis: 4.699 Cond. No. 2.26e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.26e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [42]:
# Remove Y

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "Si(at%)", "W(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Synthesis Methods", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[42]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.859
Model: OLS Adj. R-squared (uncentered): 0.849
Method: Least Squares F-statistic: 80.68
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.18e-100
Time: 20:55:39 Log-Likelihood: -1949.7
No. Observations: 284 AIC: 3939.
Df Residuals: 264 BIC: 4012.
Df Model: 20
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 5.7446 0.882 6.512 0.000 4.008 7.482
Mn(at%) 10.1724 10.820 0.940 0.348 -11.131 31.476
Nb(at%) 18.8245 2.701 6.969 0.000 13.506 24.143
Cr(at%) 104.6078 13.431 7.789 0.000 78.162 131.053
Mo(at%) 114.7196 32.910 3.486 0.001 49.920 179.519
V(at%) 26.2328 14.340 1.829 0.068 -2.002 54.467
Zr(at%) 50.7907 29.733 1.708 0.089 -7.753 109.334
Hf(at%) 58.6801 33.474 1.753 0.081 -7.231 124.591
Ta(at%) 49.9844 39.593 1.262 0.208 -27.974 127.943
Si(at%) -211.9986 268.262 -0.790 0.430 -740.204 316.206
W(at%) 147.1586 73.392 2.005 0.046 2.650 291.667
B(at%) 181.7669 46.711 3.891 0.000 89.793 273.740
Fe(at%) 68.1029 16.418 4.148 0.000 35.777 100.429
Ru(at%) 89.5633 40.144 2.231 0.027 10.520 168.606
Ni(at%) -49.9339 57.803 -0.864 0.388 -163.748 63.880
O(at%) 688.3991 470.315 1.464 0.144 -237.646 1614.444
TiB2(at%) 168.8027 81.805 2.063 0.040 7.729 329.876
Test Temperature (°C) -0.1750 0.042 -4.210 0.000 -0.257 -0.093
Synthesis Methods 10.9301 15.699 0.696 0.487 -19.981 41.841
Microstructure 34.4018 18.650 1.845 0.066 -2.320 71.123
Omnibus: 29.522 Durbin-Watson: 1.145
Prob(Omnibus): 0.000 Jarque-Bera (JB): 51.296
Skew: 0.604 Prob(JB): 7.26e-12
Kurtosis: 4.695 Cond. No. 1.79e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.79e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [43]:
# Remove Synthesis Methods

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "Si(at%)", "W(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[43]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.859
Model: OLS Adj. R-squared (uncentered): 0.849
Method: Least Squares F-statistic: 85.06
Date: Mon, 06 Sep 2021 Prob (F-statistic): 5.67e-101
Time: 20:55:39 Log-Likelihood: -1949.9
No. Observations: 284 AIC: 3938.
Df Residuals: 265 BIC: 4007.
Df Model: 19
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 5.9591 0.826 7.216 0.000 4.333 7.585
Mn(at%) 11.5926 10.615 1.092 0.276 -9.308 32.494
Nb(at%) 19.7645 2.337 8.456 0.000 15.162 24.367
Cr(at%) 102.2326 12.978 7.877 0.000 76.680 127.786
Mo(at%) 110.0661 32.193 3.419 0.001 46.680 173.452
V(at%) 25.4293 14.279 1.781 0.076 -2.686 53.544
Zr(at%) 50.9502 29.703 1.715 0.087 -7.533 109.434
Hf(at%) 57.7800 33.417 1.729 0.085 -8.016 123.576
Ta(at%) 46.4272 39.224 1.184 0.238 -30.803 123.657
Si(at%) -243.9353 264.054 -0.924 0.356 -763.846 275.975
W(at%) 152.0341 72.986 2.083 0.038 8.328 295.741
B(at%) 176.3623 46.017 3.833 0.000 85.758 266.967
Fe(at%) 66.0946 16.146 4.093 0.000 34.303 97.886
Ru(at%) 86.4650 39.858 2.169 0.031 7.987 164.943
Ni(at%) -51.3884 57.709 -0.890 0.374 -165.015 62.238
O(at%) 733.6595 465.347 1.577 0.116 -182.589 1649.908
TiB2(at%) 166.6801 81.669 2.041 0.042 5.878 327.482
Test Temperature (°C) -0.1754 0.042 -4.224 0.000 -0.257 -0.094
Microstructure 33.1988 18.552 1.790 0.075 -3.329 69.726
Omnibus: 27.794 Durbin-Watson: 1.139
Prob(Omnibus): 0.000 Jarque-Bera (JB): 47.162
Skew: 0.581 Prob(JB): 5.74e-11
Kurtosis: 4.623 Cond. No. 1.77e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.77e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [44]:
# Remove Ni

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "Si(at%)", "W(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[44]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.859
Model: OLS Adj. R-squared (uncentered): 0.849
Method: Least Squares F-statistic: 89.81
Date: Mon, 06 Sep 2021 Prob (F-statistic): 8.72e-102
Time: 20:55:39 Log-Likelihood: -1950.3
No. Observations: 284 AIC: 3937.
Df Residuals: 266 BIC: 4002.
Df Model: 18
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 5.9462 0.825 7.204 0.000 4.321 7.571
Mn(at%) 11.7893 10.609 1.111 0.267 -9.099 32.677
Nb(at%) 19.9510 2.327 8.573 0.000 15.369 24.533
Cr(at%) 101.1108 12.912 7.831 0.000 75.689 126.533
Mo(at%) 111.2951 32.151 3.462 0.001 47.993 174.597
V(at%) 25.9368 14.262 1.819 0.070 -2.145 54.018
Zr(at%) 51.1790 29.690 1.724 0.086 -7.279 109.637
Hf(at%) 57.9754 33.403 1.736 0.084 -7.793 123.744
Ta(at%) 46.9754 39.204 1.198 0.232 -30.214 124.164
Si(at%) -241.6036 263.938 -0.915 0.361 -761.277 278.070
W(at%) 151.7727 72.957 2.080 0.038 8.126 295.420
B(at%) 176.8182 45.996 3.844 0.000 86.256 267.381
Fe(at%) 66.3853 16.137 4.114 0.000 34.613 98.158
Ru(at%) 86.9618 39.838 2.183 0.030 8.523 165.400
O(at%) 728.8281 465.134 1.567 0.118 -186.986 1644.642
TiB2(at%) 169.0033 81.595 2.071 0.039 8.348 329.658
Test Temperature (°C) -0.1724 0.041 -4.168 0.000 -0.254 -0.091
Microstructure 31.5127 18.448 1.708 0.089 -4.809 67.835
Omnibus: 28.095 Durbin-Watson: 1.125
Prob(Omnibus): 0.000 Jarque-Bera (JB): 47.587
Skew: 0.587 Prob(JB): 4.64e-11
Kurtosis: 4.625 Cond. No. 1.77e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.77e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [45]:
# Remove Si

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "W(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[45]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.858
Model: OLS Adj. R-squared (uncentered): 0.849
Method: Least Squares F-statistic: 95.10
Date: Mon, 06 Sep 2021 Prob (F-statistic): 1.33e-102
Time: 20:55:39 Log-Likelihood: -1950.8
No. Observations: 284 AIC: 3936.
Df Residuals: 267 BIC: 3998.
Df Model: 17
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 5.8658 0.820 7.149 0.000 4.250 7.481
Mn(at%) 11.8720 10.605 1.119 0.264 -9.008 32.753
Nb(at%) 20.1751 2.313 8.721 0.000 15.620 24.730
Cr(at%) 101.8821 12.880 7.910 0.000 76.522 127.242
Mo(at%) 110.0579 32.112 3.427 0.001 46.832 173.284
V(at%) 26.1909 14.255 1.837 0.067 -1.876 54.258
Zr(at%) 40.4007 27.247 1.483 0.139 -13.246 94.047
Hf(at%) 46.5461 30.972 1.503 0.134 -14.435 107.527
Ta(at%) 46.8337 39.191 1.195 0.233 -30.330 123.997
W(at%) 100.9103 47.265 2.135 0.034 7.850 193.970
B(at%) 177.1752 45.980 3.853 0.000 86.645 267.705
Fe(at%) 66.3604 16.132 4.114 0.000 34.598 98.122
Ru(at%) 86.8270 39.826 2.180 0.030 8.414 165.240
O(at%) 740.2120 464.827 1.592 0.112 -174.981 1655.405
TiB2(at%) 168.3330 81.567 2.064 0.040 7.736 328.930
Test Temperature (°C) -0.1672 0.041 -4.082 0.000 -0.248 -0.087
Microstructure 31.5031 18.442 1.708 0.089 -4.807 67.813
Omnibus: 27.160 Durbin-Watson: 1.116
Prob(Omnibus): 0.000 Jarque-Bera (JB): 45.049
Skew: 0.577 Prob(JB): 1.65e-10
Kurtosis: 4.573 Cond. No. 1.77e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.77e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [46]:
# Remove Mn

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "W(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[46]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.858
Model: OLS Adj. R-squared (uncentered): 0.849
Method: Least Squares F-statistic: 100.9
Date: Mon, 06 Sep 2021 Prob (F-statistic): 2.42e-103
Time: 20:55:39 Log-Likelihood: -1951.5
No. Observations: 284 AIC: 3935.
Df Residuals: 268 BIC: 3993.
Df Model: 16
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 5.8900 0.821 7.178 0.000 4.274 7.506
Nb(at%) 19.8897 2.300 8.646 0.000 15.360 24.419
Cr(at%) 101.0791 12.866 7.856 0.000 75.747 126.411
Mo(at%) 107.8652 32.068 3.364 0.001 44.728 171.002
V(at%) 25.2785 14.239 1.775 0.077 -2.755 53.312
Zr(at%) 40.2206 27.260 1.475 0.141 -13.450 93.891
Hf(at%) 46.2493 30.986 1.493 0.137 -14.757 107.256
Ta(at%) 45.9146 39.201 1.171 0.243 -31.267 123.096
W(at%) 99.3997 47.268 2.103 0.036 6.335 192.464
B(at%) 174.5637 45.943 3.800 0.000 84.109 265.018
Fe(at%) 65.1803 16.105 4.047 0.000 33.472 96.889
Ru(at%) 84.2915 39.780 2.119 0.035 5.970 162.613
O(at%) 736.4647 465.034 1.584 0.114 -179.121 1652.050
TiB2(at%) 173.8740 81.455 2.135 0.034 13.500 334.248
Test Temperature (°C) -0.1661 0.041 -4.055 0.000 -0.247 -0.085
Microstructure 33.9663 18.319 1.854 0.065 -2.101 70.034
Omnibus: 26.879 Durbin-Watson: 1.127
Prob(Omnibus): 0.000 Jarque-Bera (JB): 44.533
Skew: 0.573 Prob(JB): 2.14e-10
Kurtosis: 4.566 Cond. No. 1.77e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.77e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [47]:
# Remove Ta

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)",
                          "W(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[47]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.857
Model: OLS Adj. R-squared (uncentered): 0.849
Method: Least Squares F-statistic: 107.4
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.52e-104
Time: 20:55:39 Log-Likelihood: -1952.2
No. Observations: 284 AIC: 3934.
Df Residuals: 269 BIC: 3989.
Df Model: 15
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.0120 0.814 7.381 0.000 4.408 7.616
Nb(at%) 19.7169 2.297 8.583 0.000 15.194 24.240
Cr(at%) 100.7587 12.872 7.828 0.000 75.416 126.102
Mo(at%) 104.1412 31.932 3.261 0.001 41.273 167.009
V(at%) 24.4541 14.231 1.718 0.087 -3.564 52.473
Zr(at%) 53.0744 24.970 2.126 0.034 3.913 102.236
Hf(at%) 44.2549 30.960 1.429 0.154 -16.701 105.210
W(at%) 95.2198 47.166 2.019 0.044 2.358 188.081
B(at%) 181.8826 45.547 3.993 0.000 92.208 271.557
Fe(at%) 64.3129 16.099 3.995 0.000 32.617 96.009
Ru(at%) 82.5373 39.780 2.075 0.039 4.218 160.856
O(at%) 706.6459 464.658 1.521 0.129 -208.183 1621.474
TiB2(at%) 170.4854 81.460 2.093 0.037 10.105 330.866
Test Temperature (°C) -0.1662 0.041 -4.055 0.000 -0.247 -0.086
Microstructure 33.2114 18.320 1.813 0.071 -2.858 69.281
Omnibus: 27.083 Durbin-Watson: 1.125
Prob(Omnibus): 0.000 Jarque-Bera (JB): 44.816
Skew: 0.577 Prob(JB): 1.85e-10
Kurtosis: 4.567 Cond. No. 1.77e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.77e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [48]:
# Remove Hf

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)",
                          "W(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[48]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.856
Model: OLS Adj. R-squared (uncentered): 0.848
Method: Least Squares F-statistic: 114.4
Date: Mon, 06 Sep 2021 Prob (F-statistic): 1.14e-104
Time: 20:55:39 Log-Likelihood: -1953.3
No. Observations: 284 AIC: 3935.
Df Residuals: 270 BIC: 3986.
Df Model: 14
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.1964 0.806 7.690 0.000 4.610 7.783
Nb(at%) 19.5955 2.300 8.519 0.000 15.067 24.124
Cr(at%) 99.6657 12.874 7.741 0.000 74.319 125.012
Mo(at%) 101.7368 31.949 3.184 0.002 38.836 164.638
V(at%) 23.8928 14.253 1.676 0.095 -4.169 51.954
Zr(at%) 50.7860 24.967 2.034 0.043 1.631 99.941
W(at%) 90.9894 47.164 1.929 0.055 -1.866 183.845
B(at%) 189.7129 45.304 4.188 0.000 100.519 278.907
Fe(at%) 64.0385 16.129 3.970 0.000 32.284 95.793
Ru(at%) 82.3267 39.856 2.066 0.040 3.859 160.795
O(at%) 670.1611 464.852 1.442 0.151 -245.034 1585.356
TiB2(at%) 170.2578 81.617 2.086 0.038 9.570 330.945
Test Temperature (°C) -0.1729 0.041 -4.238 0.000 -0.253 -0.093
Microstructure 31.5594 18.319 1.723 0.086 -4.507 67.626
Omnibus: 25.800 Durbin-Watson: 1.119
Prob(Omnibus): 0.000 Jarque-Bera (JB): 42.140
Skew: 0.557 Prob(JB): 7.07e-10
Kurtosis: 4.523 Cond. No. 1.76e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.76e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [49]:
# Remove O

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)",
                          "W(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[49]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.855
Model: OLS Adj. R-squared (uncentered): 0.848
Method: Least Squares F-statistic: 122.6
Date: Mon, 06 Sep 2021 Prob (F-statistic): 2.81e-105
Time: 20:55:40 Log-Likelihood: -1954.3
No. Observations: 284 AIC: 3935.
Df Residuals: 271 BIC: 3982.
Df Model: 13
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.6573 0.741 8.983 0.000 5.198 8.116
Nb(at%) 19.3580 2.299 8.421 0.000 14.832 23.884
Cr(at%) 96.2039 12.674 7.591 0.000 71.253 121.155
Mo(at%) 101.2391 32.011 3.163 0.002 38.218 164.260
V(at%) 26.0675 14.201 1.836 0.068 -1.891 54.026
Zr(at%) 48.1747 24.951 1.931 0.055 -0.947 97.296
W(at%) 80.7839 46.722 1.729 0.085 -11.201 172.769
B(at%) 183.2087 45.168 4.056 0.000 94.283 272.134
Fe(at%) 63.2300 16.151 3.915 0.000 31.432 95.028
Ru(at%) 80.2531 39.909 2.011 0.045 1.681 158.825
TiB2(at%) 169.2867 81.777 2.070 0.039 8.288 330.285
Test Temperature (°C) -0.1756 0.041 -4.300 0.000 -0.256 -0.095
Microstructure 23.2953 17.434 1.336 0.183 -11.027 57.618
Omnibus: 26.284 Durbin-Watson: 1.098
Prob(Omnibus): 0.000 Jarque-Bera (JB): 43.882
Skew: 0.558 Prob(JB): 2.96e-10
Kurtosis: 4.569 Cond. No. 3.11e+03


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 3.11e+03. This might indicate that there are
strong multicollinearity or other numerical problems.
In [50]:
# Remove Microstructure

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)",
                          "W(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[50]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.854
Model: OLS Adj. R-squared (uncentered): 0.847
Method: Least Squares F-statistic: 132.3
Date: Mon, 06 Sep 2021 Prob (F-statistic): 5.78e-106
Time: 20:55:40 Log-Likelihood: -1955.3
No. Observations: 284 AIC: 3935.
Df Residuals: 272 BIC: 3978.
Df Model: 12
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 7.2098 0.616 11.705 0.000 5.997 8.422
Nb(at%) 20.2695 2.198 9.220 0.000 15.941 24.598
Cr(at%) 94.6172 12.636 7.488 0.000 69.740 119.494
Mo(at%) 108.8690 31.543 3.451 0.001 46.770 170.968
V(at%) 27.2741 14.193 1.922 0.056 -0.668 55.216
Zr(at%) 46.6570 24.961 1.869 0.063 -2.484 95.798
W(at%) 71.0778 46.221 1.538 0.125 -19.918 162.074
B(at%) 185.4209 45.203 4.102 0.000 96.429 274.413
Fe(at%) 66.4979 15.988 4.159 0.000 35.022 97.974
Ru(at%) 86.3777 39.702 2.176 0.030 8.215 164.541
TiB2(at%) 184.3494 81.113 2.273 0.024 24.660 344.039
Test Temperature (°C) -0.1761 0.041 -4.307 0.000 -0.257 -0.096
Omnibus: 26.296 Durbin-Watson: 1.067
Prob(Omnibus): 0.000 Jarque-Bera (JB): 43.715
Skew: 0.560 Prob(JB): 3.22e-10
Kurtosis: 4.562 Cond. No. 3.08e+03


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 3.08e+03. This might indicate that there are
strong multicollinearity or other numerical problems.
In [51]:
# Remove W

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)",
                          "B(at%)", "Fe(at%)", "Ru(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[51]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.852
Model: OLS Adj. R-squared (uncentered): 0.846
Method: Least Squares F-statistic: 143.4
Date: Mon, 06 Sep 2021 Prob (F-statistic): 1.52e-106
Time: 20:55:40 Log-Likelihood: -1956.5
No. Observations: 284 AIC: 3935.
Df Residuals: 273 BIC: 3975.
Df Model: 11
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 7.4604 0.595 12.529 0.000 6.288 8.633
Nb(at%) 19.7725 2.180 9.070 0.000 15.481 24.064
Cr(at%) 92.2480 12.573 7.337 0.000 67.496 117.000
Mo(at%) 104.2088 31.475 3.311 0.001 42.244 166.174
V(at%) 25.0138 14.152 1.768 0.078 -2.847 52.874
Zr(at%) 44.2563 24.974 1.772 0.077 -4.910 93.422
B(at%) 183.1178 45.291 4.043 0.000 93.954 272.282
Fe(at%) 64.3314 15.966 4.029 0.000 32.900 95.763
Ru(at%) 81.6952 39.684 2.059 0.040 3.569 159.821
TiB2(at%) 176.7638 81.165 2.178 0.030 16.975 336.553
Test Temperature (°C) -0.1764 0.041 -4.303 0.000 -0.257 -0.096
Omnibus: 26.453 Durbin-Watson: 1.067
Prob(Omnibus): 0.000 Jarque-Bera (JB): 44.908
Skew: 0.555 Prob(JB): 1.77e-10
Kurtosis: 4.600 Cond. No. 3.07e+03


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 3.07e+03. This might indicate that there are
strong multicollinearity or other numerical problems.
In [52]:
# Remove V

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "Zr(at%)",
                          "B(at%)", "Fe(at%)", "Ru(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[52]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.851
Model: OLS Adj. R-squared (uncentered): 0.845
Method: Least Squares F-statistic: 156.2
Date: Mon, 06 Sep 2021 Prob (F-statistic): 5.55e-107
Time: 20:55:40 Log-Likelihood: -1958.1
No. Observations: 284 AIC: 3936.
Df Residuals: 274 BIC: 3973.
Df Model: 10
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 7.7347 0.577 13.403 0.000 6.599 8.871
Nb(at%) 19.1069 2.156 8.864 0.000 14.863 23.350
Cr(at%) 90.8839 12.598 7.214 0.000 66.083 115.685
Mo(at%) 101.8890 31.569 3.227 0.001 39.740 164.038
Zr(at%) 41.9981 25.038 1.677 0.095 -7.293 91.289
B(at%) 175.7832 45.275 3.883 0.000 86.652 264.914
Fe(at%) 62.2628 15.984 3.895 0.000 30.795 93.731
Ru(at%) 76.6108 39.733 1.928 0.055 -1.610 154.832
TiB2(at%) 167.5433 81.311 2.061 0.040 7.471 327.616
Test Temperature (°C) -0.1768 0.041 -4.297 0.000 -0.258 -0.096
Omnibus: 27.295 Durbin-Watson: 1.067
Prob(Omnibus): 0.000 Jarque-Bera (JB): 46.590
Skew: 0.569 Prob(JB): 7.64e-11
Kurtosis: 4.625 Cond. No. 3.06e+03


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 3.06e+03. This might indicate that there are
strong multicollinearity or other numerical problems.
In [53]:
# Remove Zr

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)",
                          "B(at%)", "Fe(at%)", "Ru(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[53]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.849
Model: OLS Adj. R-squared (uncentered): 0.844
Method: Least Squares F-statistic: 172.1
Date: Mon, 06 Sep 2021 Prob (F-statistic): 1.65e-107
Time: 20:55:40 Log-Likelihood: -1959.6
No. Observations: 284 AIC: 3937.
Df Residuals: 275 BIC: 3970.
Df Model: 9
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 7.9273 0.567 13.970 0.000 6.810 9.044
Nb(at%) 18.8331 2.156 8.733 0.000 14.588 23.078
Cr(at%) 90.3551 12.635 7.151 0.000 65.481 115.229
Mo(at%) 98.9911 31.626 3.130 0.002 36.732 161.251
B(at%) 181.5580 45.293 4.009 0.000 92.394 270.722
Fe(at%) 61.8127 16.035 3.855 0.000 30.246 93.379
Ru(at%) 76.1750 39.863 1.911 0.057 -2.300 154.650
TiB2(at%) 165.8598 81.572 2.033 0.043 5.275 326.445
Test Temperature (°C) -0.1870 0.041 -4.578 0.000 -0.267 -0.107
Omnibus: 25.930 Durbin-Watson: 1.047
Prob(Omnibus): 0.000 Jarque-Bera (JB): 43.155
Skew: 0.553 Prob(JB): 4.26e-10
Kurtosis: 4.557 Cond. No. 3.06e+03


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 3.06e+03. This might indicate that there are
strong multicollinearity or other numerical problems.
In [54]:
# Remove Ru

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)",
                          "B(at%)", "Fe(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[54]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.847
Model: OLS Adj. R-squared (uncentered): 0.843
Method: Least Squares F-statistic: 191.3
Date: Mon, 06 Sep 2021 Prob (F-statistic): 7.03e-108
Time: 20:55:40 Log-Likelihood: -1961.4
No. Observations: 284 AIC: 3939.
Df Residuals: 276 BIC: 3968.
Df Model: 8
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 8.0217 0.568 14.123 0.000 6.904 9.140
Nb(at%) 18.4975 2.160 8.565 0.000 14.246 22.749
Cr(at%) 87.9265 12.632 6.961 0.000 63.060 112.793
Mo(at%) 94.9578 31.707 2.995 0.003 32.540 157.375
B(at%) 175.0762 45.382 3.858 0.000 85.738 264.415
Fe(at%) 59.2648 16.056 3.691 0.000 27.658 90.872
TiB2(at%) 157.0852 81.833 1.920 0.056 -4.011 318.181
Test Temperature (°C) -0.1735 0.040 -4.292 0.000 -0.253 -0.094
Omnibus: 27.935 Durbin-Watson: 1.025
Prob(Omnibus): 0.000 Jarque-Bera (JB): 47.122
Skew: 0.586 Prob(JB): 5.86e-11
Kurtosis: 4.615 Cond. No. 3.05e+03


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 3.05e+03. This might indicate that there are
strong multicollinearity or other numerical problems.
In [55]:
# Remove TiB2

X_opt = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)",
                          "B(at%)", "Fe(at%)", 
                          "Test Temperature (°C)"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_1["Yield Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[55]:
OLS Regression Results
Dep. Variable: Yield Strength (MPa) R-squared (uncentered): 0.845
Model: OLS Adj. R-squared (uncentered): 0.841
Method: Least Squares F-statistic: 216.0
Date: Mon, 06 Sep 2021 Prob (F-statistic): 2.85e-108
Time: 20:55:40 Log-Likelihood: -1963.3
No. Observations: 284 AIC: 3941.
Df Residuals: 277 BIC: 3966.
Df Model: 7
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 8.0916 0.570 14.207 0.000 6.970 9.213
Nb(at%) 18.2657 2.167 8.430 0.000 14.001 22.531
Cr(at%) 89.0517 12.679 7.024 0.000 64.092 114.011
Mo(at%) 90.9130 31.789 2.860 0.005 28.333 153.493
B(at%) 171.0683 45.553 3.755 0.000 81.394 260.742
Fe(at%) 57.5886 16.110 3.575 0.000 25.876 89.301
Test Temperature (°C) -0.1651 0.040 -4.089 0.000 -0.245 -0.086
Omnibus: 27.504 Durbin-Watson: 1.002
Prob(Omnibus): 0.000 Jarque-Bera (JB): 45.160
Skew: 0.588 Prob(JB): 1.56e-10
Kurtosis: 4.560 Cond. No. 1.72e+03


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.72e+03. This might indicate that there are
strong multicollinearity or other numerical problems.

4.6 Multilayer Perceptron (MLP) (Yield Strength)

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Once the ordinary least squares module was implemented and the leftover input independent (X) variables with the respective p-values of less than the threshold value of 0.05 were determined, the leftover independent (X) variables were set as the input columns and the dependent (y) variable (yield strength) was set as the output for prediction. The input independent (X) variable columns which are statistically significant in the prediction of the yield strength are the titanium (Ti(at%)), niobium (Nb(at%)), chromium (Cr(at%)), molybdenum (Mo(at%)), boron (B(at%)), iron (Fe(at%)), and the test temperature (Test Temperature (°C)) columns.

The standard configuration for the multilayer perceptron (MLP) model was similar as with the one used for the cost prediction except this time there were 2 additional tasks which were done. The first additional task was data scaling where the respective leftover independent (X) variables and the dependent (y) variable (yield strength) had to be scaled with the StandardScalar module as the values were large and the multilayer perceptron (MLP) model may not be able to process the data and predict correctly. The scaling would produce normalized smaller values with centering and the multilayer perceptron (MLP) model will be able to process them properly and predict correctly.

Just as with the multilayer perceptron (MLP) model configuration seen for the cost prediction, the RandomizedSearchCV module was used to determine the best hyperparameters which are the hidden layer sizes, activation function, solver, alpha value, learning rate and maximum number of iterations.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the number of hidden layers it chose was 1 with 99 neurons. This was based on the nested cross validation of the already split 80:20 (80% train and 20% test) dataset.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the solver it chose for the deep gradient descent and backwards propagation to reduce the loss function to determine the smallest loss for the loss function (gradient descent local minima) was the log-linear "lbfgs" which is also known as the limited-memory-BFGS activation function. This solver is non-linear but the logarithmic values are linear.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the alpha value it chose was 1.12 which is already a logarithmic value derived from the range of 0.0001 to 0.05. The value is not too high and not too low but this value can be problem specific and usually a value slightly larger than 1 is commonly used. Therefore, it can be a little difficult to tell if the model has been underfitted or overfitted but based on the value selected by the RandomizedSearchCV function, it can be assumed that the model is just nice due to the value of alpha not being greater than 3.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the learning rate it chose was constant which is a type of learning rate where the updating of the weights after each successive deep gradient descent is constant with improvement in every successive loss function with every successive gradient descent with back propagation until the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the maximum number of iterations it chose was 9909. This hyperparameter indicates how many forward propagations to impose through the summation of weights of the input feature variables in each layer of the neural network are transformed into the output which will be the predicted yield strength. The more the number of times the loss function is calculated with differentiation to allow deep gradient descent to occur with the larger the number of times the errors contributing to the loss function are determined with backwards propagation, the larger the number of times those errors discovered with each iteration will be rectified with weights adjustments to improve the overall loss function with gradient descent and forward propagation with each iteration until the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence. The value of 9909 indicates that the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence after 9909 iterations.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the activation function it chose was "relu" which is the rectified linear activation function. This indicates that the prediction for the yield strength may be linear and since it chose the rectified linear activation function for the yield strength prediction, the multilayer perceptron (MLP) model may work in a way similar to that of the linear regression model where the predicted relationship with the 20% test yield strength values may be somewhat linear. This was true as the R2 value for the multilayer perceptron (MLP) model was 0.7218 with a normalized mean squared error of 0.28. This indicates that the multilayer perceptron (MLP) model is able to predict the yield strength values using the input variables which have the most significant impact for the prediction based on the ordinary least squares (OLS) redundant input variables elimination as well as with the rest of the optimized hyperparameter selected by the RandomizedSearchCV function. This outcome will be used for the in-depth analysis during the graphical representation illustrated further, to produce the visualisation of how well the predicted yield strength values from the multilayer perceptron (MLP) model (y_Random_Reg_Yield_MLP_pred) correlate with the 20% (y_test_Yield_Strength_MLP) yield strength values.

In [56]:
# MLP for Yield Strength

mySeed_MLP = np.random.seed(20)


# Define the MLP regressor

MLP = MLPRegressor(random_state = mySeed_MLP, shuffle = True)


# Define the independent (X) and dependent (y) target variable

X_Yield_Strength_MLP, y_Yield_Strength_MLP = Encoded_Dataset_1.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "B(at%)", "Fe(at%)", "Test Temperature (°C)"]], Encoded_Dataset_1["Yield Strength (MPa)"]


# Reshape the dependent (y) target variable into an array

y_reshape_Yield_Strength_MLP = y_Yield_Strength_MLP.values.reshape(-1, 1)


# Perform the train-test split

X_train_Yield_Strength_MLP, X_test_Yield_Strength_MLP, y_train_Yield_Strength_MLP, y_test_Yield_Strength_MLP = train_test_split(X_Yield_Strength_MLP, y_reshape_Yield_Strength_MLP, 
                                                                                                               train_size = 0.8, test_size = 0.2)

# Perform scaling and centering of data

SS = StandardScaler()

X_Yield_Strength_scale_MLP = SS.fit_transform(X_Yield_Strength_MLP) 
y_Yield_Strength_scale_MLP = SS.fit_transform(y_reshape_Yield_Strength_MLP)

X_train_Yield_scale_MLP = SS.fit_transform(X_train_Yield_Strength_MLP)  
X_test_Yield_scale_MLP = SS.fit_transform(X_test_Yield_Strength_MLP)
y_train_Yield_scale_MLP = SS.fit_transform(y_train_Yield_Strength_MLP)  
y_test_Yield_scale_MLP = SS.fit_transform(y_test_Yield_Strength_MLP)


# Initialize the random grid

Random_Grid_Yield = {"hidden_layer_sizes": [int(c) for c in np.arange(1,100)], 
                     "activation": ["relu", "tanh", "logistic"],
                     "solver": ["adam", "sgd", "lbfgs"], 
                     "alpha": [float(d) for d in np.logspace(0.0001,0.05)],
                     "learning_rate": ["constant", "adaptive"],
                     "max_iter": np.arange(1,10000,1)}


# Apply the RandomizedSearchCV

Random_Reg_Yield_MLP = RandomizedSearchCV(MLP, Random_Grid_Yield, n_jobs =- 1, cv = 5)


# Fit MLP using the optimized hyperparameters

Random_Reg_Yield_MLP.fit(X_train_Yield_scale_MLP, y_train_Yield_scale_MLP.ravel())

Random_Reg_Yield_MLP
Out[56]:
RandomizedSearchCV(cv=5, estimator=MLPRegressor(), n_jobs=-1,
                   param_distributions={'activation': ['relu', 'tanh',
                                                       'logistic'],
                                        'alpha': [1.0002302850208247,
                                                  1.0025784544921414,
                                                  1.0049321365938482,
                                                  1.0072913442675548,
                                                  1.0096560904852534,
                                                  1.01202638824939,
                                                  1.014402250592935,
                                                  1.0167836905794556,
                                                  1.019170721303187,
                                                  1.0215633558891057,
                                                  1.023961607493,
                                                  1.026365489301543,
                                                  1....
                                                  1.0556560693917905,
                                                  1.0581343580333953,
                                                  1.0606184647769075,
                                                  1.0631084032810711,
                                                  1.065604187236696,
                                                  1.0681058303667321,
                                                  1.0706133464263468, ...],
                                        'hidden_layer_sizes': [1, 2, 3, 4, 5, 6,
                                                               7, 8, 9, 10, 11,
                                                               12, 13, 14, 15,
                                                               16, 17, 18, 19,
                                                               20, 21, 22, 23,
                                                               24, 25, 26, 27,
                                                               28, 29, 30, ...],
                                        'learning_rate': ['constant',
                                                          'adaptive'],
                                        'max_iter': array([   1,    2,    3, ..., 9997, 9998, 9999]),
                                        'solver': ['adam', 'sgd', 'lbfgs']})
In [57]:
# MLP Best Parameters (Yield Strength)

Random_Reg_Yield_MLP.best_params_
Out[57]:
{'solver': 'lbfgs',
 'max_iter': 9909,
 'learning_rate': 'constant',
 'hidden_layer_sizes': 99,
 'alpha': 1.1115436720692664,
 'activation': 'relu'}
In [58]:
# MLP Best Estimator (Yield Strength)

Random_Reg_Yield_MLP.best_estimator_
Out[58]:
MLPRegressor(alpha=1.1115436720692664, hidden_layer_sizes=99, max_iter=9909,
             solver='lbfgs')
In [59]:
# MLP yield strength prediction

y_Random_Reg_Yield_MLP_pred = Random_Reg_Yield_MLP.predict(X_test_Yield_scale_MLP)

print("R² Value: %.4f" % r2_score(SS.inverse_transform(y_test_Yield_scale_MLP), SS.inverse_transform(y_Random_Reg_Yield_MLP_pred)))
print("Mean Squared Error: %.2f" % mean_squared_error(y_test_Yield_scale_MLP, y_Random_Reg_Yield_MLP_pred))
print("Mean Squared Error (Non-Normalized) = %.2f" % mean_squared_error(SS.inverse_transform(y_test_Yield_scale_MLP), SS.inverse_transform(y_Random_Reg_Yield_MLP_pred)))
R² Value: 0.7218
Mean Squared Error: 0.28
Mean Squared Error (Non-Normalized) = 29317.10

4.7 Dataframe Representation of Predicted Output Yield Strength Values (MLP) with Input Target Yield Strength Values (MLP)

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Once the predicted yield strength values from the multilayer perceptron (MLP) model (y_Random_Reg_Yield_MLP_pred) have been made according to (80:20) train-test split and the seed value of 20 for randomizing and shuffling with hyperparameters optimization from the RandomSearchCV function, the predicted results were added into a independent dataframe which contained the remaining 20% (y_test_Yield_Strength_MLP) yield strength values and the predicted (y_Random_Reg_Yield_MLP_pred) yield strength values in 2 seperate columns for visualisation of the predicted yield strength values (y_Random_Reg_Yield_MLP_pred) against the 20% (y_test_Yield_Strength_MLP) actual yield strength values.

The predicted yield strength values (y_Random_Reg_Yield_MLP_pred) when correlated with the test yield strength values, have a R2 value of 0.7218 with a normalized mean squared error of 0.28 which is generally good for yield strength prediction as the correlations between the yield strength with the input independent (X) variables defined by the ordinary least squared (OLS) module are generally good but not excellent. However, if all the elements atomic percentages (at%) and the encoded synthesis methods and microstructure are set as the input independent (X) variables, the R2 will definitely be worse than 0.7218 as it will incorporate the redundant correlations which have little to no effect on the prediction of the yield strength and thereby, affect the predictions and produce bad R2 values. However, the non-normalized error is 29317.10 which is high but it should be noted that the prediction values are large and it is natural for the non-normalized error value to be somewhat large.

In [60]:
# Insert the predicted yield strength values with the input target yield strength values

MLP_Yield_Strength_Comparison = pd.DataFrame(SS.inverse_transform(y_test_Yield_scale_MLP), columns = ["Yield Strength Values MLP (y_test)"])
MLP_Yield_Strength_Comparison.insert(1, "Yield Strength Values MLP (y_pred)", SS.inverse_transform(y_Random_Reg_Yield_MLP_pred))
MLP_Yield_Strength_Comparison
Out[60]:
Yield Strength Values MLP (y_test) Yield Strength Values MLP (y_pred)
0 310.00 499.474536
1 570.00 553.325038
2 720.00 354.905914
3 305.00 597.568600
4 360.00 448.732178
5 353.31 669.811356
6 681.00 495.141192
7 567.00 515.850358
8 1560.00 1350.767152
9 367.00 389.319554
10 420.00 288.740506
11 940.00 921.501317
12 943.00 609.930689
13 320.00 415.689648
14 100.00 371.585276
15 342.00 410.292167
16 375.00 339.559025
17 458.00 511.586919
18 497.00 456.143839
19 440.00 746.238149
20 342.00 498.258354
21 368.00 354.509785
22 370.00 316.621009
23 617.00 911.757892
24 680.00 342.728145
25 457.00 498.258354
26 300.00 398.582638
27 413.00 441.249366
28 290.00 411.181742
29 517.00 458.189964
30 383.00 443.594409
31 460.00 646.640715
32 503.00 596.889968
33 586.21 669.811356
34 470.00 442.845643
35 547.00 470.246545
36 341.45 489.941533
37 425.00 401.865331
38 962.00 553.152839
39 1653.00 1223.698410
40 763.00 770.528665
41 490.00 627.102854
42 340.00 329.344754
43 305.00 398.567638
44 430.00 287.102323
45 733.00 911.757892
46 1917.00 1682.833639
47 579.00 503.017864
48 676.00 580.690717
49 607.00 597.941152
50 500.00 493.315420
51 358.00 550.787240
52 710.00 580.690717
53 480.00 501.390942
54 340.00 381.061908
55 624.00 731.180948
56 330.00 329.344754

4.8 Graphical Representation of Predicted Output Yield Strength Values (MLP) with Input Target Yield Strength Values (MLP)

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This graphical representation was made to show the visualisation of the predicted yield strength values from the hyperparameter optimized multilayer perceptron (MLP) model (y_Random_Reg_Yield_MLP_pred) against the 20% test yield strength values (y_test_Yield_Strength_MLP). The blue scatter plot represents the correlation relationship between the predicted yield strength values (y_Random_Reg_Yield_MLP_pred) against the 20% test yield strength values (y_test_Yield_Strength_MLP).

The trendline was also calculated using a polynomial fit to produce the trendline of the blue scatter plot with its equation displayed. The R2 value produced from the multilayer perceptron (MLP) model and the R2 value calculated from the trendline were also displayed accordingly. The R2 value from the multilayer perceptron (MLP) model was 0.7218 while the one calculated from the trendline was 0.726.

Based on the comparison of the R2 values from both the multilayer perceptron (MLP) model and the one from the trendline, both are almost identical. It should be noted that there are some outliers present which is expected due to the complexity of the yield strength prediction with respect to the indpendent input variables used according to the ordinary least squares (OLS) module. This is one of the challenges faced when predicting the yield strength. However, based on the R2 value of 0.7218 from the multilayer perceptron (MLP) model and the indpendent input variables used according to the ordinary least squares (OLS) module, it can be considered to be a good prediction with room for improvement.

The unique property of the rectified linear activation function ("relu") is that it works in such a way that the linearity will lie with a range of values between zero and infinity. This is essential for the prediction of the yield strength as yield strength values are always positive and can never be negative. The range of positive values can lie anywhere within the positive scale towards very high positive values and the upper bound of infinity provides an endless possibility of predicting the positive values of the yield strength with respect to the other optimized hyperparameters derived from the RandomizedSearchCV and the statistically significant input independent (X) variables. This phenomenon can be clearly seen from the graphical representation.

In [61]:
# MLP Yield Strength Graph


# Definition of x and y axes variables

Yield_Strength_Plot_MLP = MLP_Yield_Strength_Comparison.plot.scatter(x = "Yield Strength Values MLP (y_test)", y = "Yield Strength Values MLP (y_pred)", c="Blue", 
                                                                     figsize = (10, 7))


Legend_Yield_Strength_MLP = plt.legend(["Yield Strength Values MLP (y_pred) Vs. Yield Strength Values MLP (y_test)"], title = None, bbox_to_anchor = (1, 0.9), 
                                       loc = "lower left")

plt.gca().add_artist(Legend_Yield_Strength_MLP)


# Display trendline, respective equation and trendline R2 value

x_Yield_Strength_MLP = MLP_Yield_Strength_Comparison["Yield Strength Values MLP (y_test)"]
y_Yield_Strength_MLP = MLP_Yield_Strength_Comparison["Yield Strength Values MLP (y_pred)"]
z_Yield_Strength_MLP = np.polyfit(x_Yield_Strength_MLP, y_Yield_Strength_MLP, 1)
p_Yield_Strength_MLP = np.poly1d(z_Yield_Strength_MLP)
y_hat_Yield_Strength_MLP = np.poly1d(z_Yield_Strength_MLP)(x_Yield_Strength_MLP)

Text_Yield_Strength_MLP = f"y = {z_Yield_Strength_MLP[0]:0.3f}x{z_Yield_Strength_MLP[1]:+0.3f}\nR² (Trendline) = {r2_score(y_Yield_Strength_MLP, y_hat_Yield_Strength_MLP):0.3f}"

Trendline_Yield_Strength_MLP = plt.plot(x_Yield_Strength_MLP, p(x_Yield_Strength_MLP), c = "Red")

Legend_Reference_Yield_Strength_MLP = plt.legend(["Data Trendline"], title = None, bbox_to_anchor = (1, 0.9), loc = "upper left")


# Plotting of MLP Yield Strength Graph

plt.title("Graph of Predicted Output Yield Strength Values MLP (y_pred) Vs. True Input Yield Strength Values MLP (y_test)")
plt.xlabel("True Input Yield Strength Values MLP (y_test)")
plt.ylabel("Predicted Output Yield Strength Values MLP (y_pred)")

print("Yield Strength (MLP Regression)")
print(" ")
print("R² = %.4f" % r2_score(SS.inverse_transform(y_test_Yield_scale_MLP), SS.inverse_transform(y_Random_Reg_Yield_MLP_pred)))
print("Mean Squared Error = %.2f" % mean_squared_error(y_test_Yield_scale_MLP, y_Random_Reg_Yield_MLP_pred))
print("Mean Squared Error (Non-Normalized) = %.2f" % mean_squared_error(SS.inverse_transform(y_test_Yield_scale_MLP), SS.inverse_transform(y_Random_Reg_Yield_MLP_pred)))
print(" ")
print(Text_Yield_Strength_MLP)
print(" ")

plt.show()
Yield Strength (MLP Regression)
 
R² = 0.7218
Mean Squared Error = 0.28
Mean Squared Error (Non-Normalized) = 29317.10
 
y = 0.670x+187.379
R² (Trendline) = 0.726
 

4.9 Tensile Strength Best Parameters Selection (MLP)

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After using the multilayer perceptron (MLP) model to predict the yield strength the next major task is to predict the tensile strength. Compared with cost, the tensile strength is not easy to predict as the predicted relationship may not be linear as with cost. The values present in the tensile strength column are also large which is an issue for machine learning to learn and comprehend which leads to a complex dataset with complex predictions. This same principle also applied for the yield strength prediction.

If all the elements atomic percentages (at%) columns together with the encoded synthesis methods and microstructure columns are set as the independent (X) variables and the tensile strength column is set as the dependent (y) variable which is to be predicted, the predictions can have a high chance to be inaccurate as some of the columns which have been set as the input columns have little to no correlations with the tensile strength and their redundant correlations will cause the multilayer perceptron (MLP) model to take them into consideration and produce bad predictions with bad R2 values together with the nature of the complex dataset. The redundant correlations can be seen and compared in the pearson correlations table in section 2.17.

The first step in predicting the tensile strength would be to do generalization just as for what was done for the yield strength prediction. Generalization, in this case, would be to implement the ordinary least squares (OLS) module to display all the columns that are to be used as the indpendent (X) input variables and set the dependent (y) variable to be the tensile strength column. Generalization will be able to measure the p-values which are the probability values. A p-value of less than 0.05 is statistically significant and it implies that it has significance to the dependent (y) variable which is the tensile strength and it rejects the null hypothesis. Any input variable with p-values larger than 0.05 will have little to no significance in the prediction of the tensile strength as it retains the null hypothesis.

Therefore, the ordinary least squares (OLS) module will be executed as many times as possible with the removel of the input independent (X) variable that produces the largest p-value each time until all the leftover input independent (X) variables have their respective p-values below the threshold value of 0.05. The elimination of all input independent (X) variables using the ordinary least squares (OLS) module, were executed below until the leftover input independent (X) variables have their respective p-values below the threshold value of 0.05.

In [62]:
# Rename Encoded_Dataset_1 to Encoded_Dataset_2

Encoded_Dataset_2 = Encoded_Dataset_1

Encoded_Dataset_2
Out[62]:
Ti(at%) Mn(at%) Nb(at%) Cr(at%) Mo(at%) V(at%) Zr(at%) Hf(at%) Ta(at%) Si(at%) W(at%) C(at%) B(at%) Fe(at%) Ru(at%) Re(at%) Ni(at%) O(at%) Y(at%) TiB2(at%) Test Temperature (°C) Synthesis Methods Microstructure Yield Strength (MPa) Tensile Strength (MPa) Log 10 (Elongation) Cost (USD/kg)
0 53.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 495.00 675.00 -1.638272 8.397526
1 52.986 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 2 502.00 690.00 -1.251812 8.396757
2 52.486 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 450.00 587.00 -1.455932 9.014910
3 52.986 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 550.00 679.00 -1.568636 8.396757
4 53.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 350.00 596.00 -1.508638 8.397526
5 52.986 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 405.00 568.00 -1.244125 8.396757
6 52.486 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 2 604.00 790.00 -1.920819 9.014910
7 52.986 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.014 0.0 0.0 0.0 0.0 0.00 0.0 0.00 770 0 2 450.00 687.00 -1.769551 8.396757
8 50.200 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 0 2 570.00 695.00 -1.823909 21.577647
9 50.200 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 600 0 2 440.00 650.00 -1.244125 21.577647
10 50.200 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 0 2 415.00 510.00 -0.721246 21.577647
11 48.200 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 25 0 2 402.00 482.00 -1.823909 21.545902
12 48.200 2.0 2.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.80 760 0 2 344.00 458.00 -1.102373 21.545902
13 50.500 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 425.00 520.00 -2.000000 10.718100
14 50.500 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 0 350.00 460.00 -1.602060 10.718100
15 49.000 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 2 648.00 717.00 -1.795880 13.562379
16 49.000 0.0 4.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 2 517.00 692.00 -1.267606 13.562379
17 48.300 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 462.00 579.00 -1.552842 11.628367
18 48.300 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 345.00 468.00 -0.397940 11.628367
19 48.300 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 473.00 557.00 -1.920819 11.628367
20 48.300 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 2 375.00 509.00 -1.494850 11.628367
21 48.300 0.0 3.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 2 2 362.00 485.00 -0.920819 11.628367
22 50.660 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 2 0 480.00 530.00 -1.823909 13.716443
23 50.660 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 2 0 360.00 450.00 -1.376751 13.716443
24 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 2 0 392.00 406.00 -1.853872 13.712759
25 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 437 2 0 345.00 476.00 -1.193820 13.712759
26 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 2 0 320.00 470.00 -0.966576 13.712759
27 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 0 0 490.00 567.00 -0.939302 13.712759
28 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 480.00 548.00 -1.638272 16.354582
29 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 2 0 383.00 507.00 -1.508638 16.354582
30 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 324.00 492.00 -0.259637 16.354582
31 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 330.00 383.00 -2.096910 16.354582
32 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 2 290.00 378.00 -1.823909 16.354582
33 39.000 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 465.00 566.00 -1.853872 6.468616
34 39.000 16.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 370.00 540.00 -0.853872 6.468616
35 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 331.00 413.00 -1.638272 10.282391
36 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 0 310.00 430.00 -1.193820 10.282391
37 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 0 480.00 679.00 -1.508638 10.282391
38 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 0 403.00 563.00 -0.397940 10.282391
39 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 0 330.00 475.00 -0.275724 10.282391
40 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 2 454.00 596.00 -2.301030 10.282391
41 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 2 405.00 508.00 -1.522879 10.282391
42 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 2 350.00 589.00 -0.721246 10.282391
43 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 510.00 597.00 -1.537602 10.282391
44 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 2 421.00 581.00 -1.283997 10.282391
45 49.250 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 429.00 516.00 -1.853872 10.367565
46 49.250 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 2 286.00 428.00 -0.876148 10.367565
47 49.250 0.0 2.0 1.75 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 815 0 2 368.00 531.00 -0.632644 10.367565
48 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 430.00 515.00 -2.000000 24.145406
49 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 363.00 495.00 -0.632644 24.145406
50 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 0 0 334.00 403.00 -0.835647 24.145406
51 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 326.00 422.00 -1.769551 10.282391
52 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 284.00 474.00 -1.292430 10.282391
53 49.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 458.00 536.00 -1.847712 10.360102
54 49.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 355.00 539.00 -1.468521 10.360102
55 47.000 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 563.00 685.00 -1.017729 11.335043
56 47.000 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 0 703.00 943.00 -1.283997 11.335043
57 47.000 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 486.00 604.00 -1.124939 11.335043
58 47.000 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 0 342.00 459.00 -1.075721 11.335043
59 47.000 0.0 3.0 3.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 0 263.00 432.00 -1.677781 11.335043
60 50.700 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 504.00 599.00 -2.050610 11.079164
61 50.700 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 413.00 571.00 -1.705534 11.079164
62 50.850 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 528.00 589.00 -2.236572 10.769301
63 50.850 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 2.0 0.0 0.650 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 440.00 532.00 -1.970616 10.769301
64 49.200 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 0 0 422.00 482.00 -1.995679 32.061074
65 49.200 0.0 0.7 1.60 0.00 0.0 0.0 0.0 1.7 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 0 0 359.00 524.00 -1.437707 32.061074
66 48.700 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 2 0 417.00 547.00 -1.950782 10.591698
67 48.700 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 2 2 331.00 587.00 -1.405607 10.591698
68 49.600 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 1 0 947.00 1070.00 -1.812479 13.551972
69 49.600 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 1 2 775.00 1015.00 -1.856985 13.551972
70 49.600 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 23 1 2 637.00 875.00 -3.000000 13.551972
71 49.600 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 1 2 810.00 964.00 -2.050610 13.551972
72 49.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 2 892.00 1092.00 -1.031517 10.360102
73 48.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 450.00 622.00 -0.966576 16.564500
74 48.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 624.00 662.00 -2.397940 16.564500
75 48.000 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 364.00 554.00 -1.283997 28.939670
76 48.000 0.0 7.0 0.00 0.00 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 686.00 713.00 -2.397940 28.939670
77 47.800 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 676.00 696.00 -2.522879 14.867037
78 47.800 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 632.00 706.00 -2.154902 14.867037
79 47.800 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 686.00 698.00 -2.698970 58.727225
80 47.800 0.0 0.0 0.00 0.00 0.0 4.0 0.0 4.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 671.00 750.00 -2.096910 58.727225
81 47.800 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 710.00 756.00 -2.522879 156.607365
82 47.800 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 643.00 687.00 -2.397940 156.607365
83 47.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 617.00 690.00 -2.096910 16.588721
84 47.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 733.00 817.00 -1.769551 16.588721
85 46.800 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 644.00 705.00 -2.301030 14.874677
86 46.800 0.0 4.0 0.00 0.00 0.0 4.0 0.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 732.00 755.00 -2.221849 14.874677
87 46.800 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 616.00 669.00 -2.397940 157.818024
88 46.800 0.0 4.0 0.00 0.00 0.0 0.0 4.0 0.0 0.2 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 672.00 764.00 -1.958607 157.818024
89 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 25 2 0 392.00 406.00 -1.853872 13.712759
90 50.500 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.000 0.0 0.0 0.0 0.0 0.20 0.0 0.00 760 2 0 320.00 470.00 -0.966576 13.712759
91 50.660 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 0 0 490.00 689.00 -1.080922 13.716443
92 50.660 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 25 2 0 480.00 530.00 -1.823909 13.716443
93 50.660 0.0 0.0 0.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.14 0.0 0.00 815 2 0 360.00 450.00 0.857332 13.716443
94 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 331.00 413.00 -1.638272 10.282391
95 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 0 0 310.00 430.00 -1.013228 10.282391
96 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 1 0 467.00 640.00 -1.744727 10.282391
97 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 760 1 0 404.00 630.00 -0.667562 10.282391
98 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 870 1 0 340.00 560.00 -0.443697 10.282391
99 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 510.00 597.00 -1.537602 10.282391
100 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 2 421.00 551.00 -1.283997 10.282391
101 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 405.00 465.50 -1.809668 16.354582
102 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 600 2 0 383.00 507.00 -1.508638 16.354582
103 48.400 0.0 2.6 1.00 0.00 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 307.00 435.00 -0.548982 16.354582
104 49.800 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 462.00 520.00 -2.221849 11.885850
105 49.800 0.0 0.0 0.00 0.00 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.700 1.5 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 364.00 424.00 -0.397940 11.885850
106 51.050 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 0 799.00 799.00 -1.207608 13.281420
107 51.050 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 773.00 885.00 -2.236572 13.281420
108 51.050 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 763.00 911.00 -2.086186 13.281420
109 51.050 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 806.00 981.00 -2.045757 13.281420
110 51.050 0.0 4.0 0.00 0.95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 724.00 775.00 -2.522879 13.281420
111 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 578.00 670.00 -2.397940 14.659258
112 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 479.00 645.00 -1.124939 14.659258
113 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 753.00 975.00 -1.823909 14.659258
114 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 2 790.00 950.00 -0.602060 14.659258
115 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 689.00 820.00 -1.619789 14.659258
116 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 0 579.00 770.00 -0.397940 14.659258
117 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 2 624.00 860.00 -1.920819 14.659258
118 50.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 2 2 689.00 830.00 -0.508638 14.659258
119 52.800 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 0 2 503.00 705.00 -0.638272 8.516144
120 52.800 2.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.2 0.00 750 0 2 595.00 795.00 -0.920819 8.516144
121 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 607.00 895.00 -1.376751 17.468138
122 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 693.00 913.00 -0.769551 17.468138
123 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 532.00 774.00 -2.055517 17.468138
124 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 689.00 787.00 -2.356547 17.468138
125 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 745.00 963.00 -2.823909 17.468138
126 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 674.00 874.00 -2.107905 17.468138
127 45.000 0.0 9.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 631.00 867.00 -2.251812 17.468138
128 49.500 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 468.00 550.00 -2.522879 21.782815
129 49.500 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 421.00 620.00 -2.397940 21.782815
130 49.500 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 584.00 730.00 -2.397940 21.782815
131 49.500 0.0 0.0 1.00 0.00 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 567.00 650.00 -2.221849 21.782815
132 58.000 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 342.00 560.00 -2.698970 8.938634
133 58.000 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 457.00 560.00 -2.522879 8.938634
134 58.000 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 479.00 580.00 -2.397940 8.938634
135 58.000 0.0 0.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 424.00 600.00 -2.221849 8.938634
136 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 423.00 650.00 -2.346787 14.029892
137 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 2 465.00 680.00 -1.096910 14.029892
138 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 423.00 660.00 -1.000000 14.029892
139 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 413.00 660.00 -0.920819 14.029892
140 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 2 363.00 520.00 -0.397940 14.029892
141 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 2 467.00 526.00 -0.494850 14.029892
142 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 754.00 930.00 -2.070581 14.029892
143 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 2 745.00 890.00 -0.602060 14.029892
144 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 721.00 900.00 -0.154902 14.029892
145 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 497.00 500.00 0.008600 14.029892
146 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 2 345.00 480.00 0.217484 14.029892
147 50.500 0.0 4.0 0.00 2.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.500 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 579.00 780.00 0.120574 14.029892
148 55.800 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 524.00 736.50 0.089905 8.641287
149 55.800 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 364.00 546.00 0.214844 8.641287
150 55.700 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 0 2 579.00 776.00 -0.267606 63.872446
151 55.700 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.2 0.0 0.0 0.00 0.0 0.00 900 0 2 352.00 494.00 -0.327902 63.872446
152 55.400 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 0 2 503.00 780.00 -0.200659 173.333364
153 55.400 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.6 0.0 0.0 0.00 0.0 0.00 900 0 2 463.00 633.00 -0.468521 173.333364
154 55.200 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 0 2 683.00 803.00 -0.769551 281.353455
155 55.200 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.0 0.0 0.0 0.00 0.0 0.00 900 0 2 503.00 705.00 -0.552842 281.353455
156 55.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 0 2 604.00 806.00 -0.366532 387.981392
157 55.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 1.4 0.0 0.0 0.00 0.0 0.00 900 0 2 595.00 754.00 -0.431798 387.981392
158 47.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 640.00 896.00 -0.376751 16.521780
159 47.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 395.00 596.00 -0.638272 16.521780
160 54.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 3.0 0.0 0.0 0.00 0.0 0.00 900 0 2 406.00 629.00 -0.677781 801.897799
161 52.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 5.0 0.0 0.0 0.00 0.0 0.00 900 0 2 395.00 539.00 -0.508638 1296.813694
162 47.700 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 25 0 2 425.00 511.00 -2.301030 55.486654
163 47.700 0.0 0.0 0.00 0.00 9.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.3 0.00 700 0 2 340.00 426.00 -1.244125 55.486654
164 53.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.5 0.0 0.00 0.0 0.00 25 0 2 300.00 500.00 -1.522879 107.774260
165 53.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 405.00 680.00 -0.698970 9.063445
166 53.000 0.0 0.0 0.00 0.50 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 305.00 580.00 -0.698970 8.822925
167 46.500 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 494.00 1414.00 -0.638272 14.363931
168 46.500 0.0 5.0 3.00 0.00 0.0 1.5 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 547.00 1781.00 -0.602060 14.363931
169 44.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 2 0 962.00 1174.00 -1.995679 16.390814
170 44.000 0.0 8.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 2 0 681.00 777.00 -0.431798 16.390814
171 43.000 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 305.00 545.00 -1.869666 18.422745
172 43.000 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 323.00 562.00 -1.847712 18.422745
173 43.000 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 366.00 558.00 -1.879426 18.422745
174 43.000 0.0 10.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 358.00 573.00 -1.832683 18.422745
175 47.800 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 356.00 414.00 -1.091515 24.677530
176 47.800 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 364.00 552.00 -0.677781 24.677530
177 47.800 0.0 5.0 0.00 1.00 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 367.00 522.00 -0.494850 24.677530
178 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 462.00 580.00 -0.236572 13.338839
179 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 620.00 697.00 -1.397940 13.338839
180 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 715.00 770.00 -1.221849 13.338839
181 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 600.00 680.00 -1.522879 13.338839
182 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 460.00 505.00 -0.698970 13.338839
183 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 660.00 750.00 -1.823909 13.338839
184 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 690.00 760.00 -1.698970 13.338839
185 51.400 0.0 4.0 0.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 610.00 750.00 -1.698970 13.338839
186 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 497.00 536.00 -2.408935 12.921194
187 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 444.00 552.00 -1.085128 12.921194
188 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 506.00 771.00 -3.000000 12.921194
189 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 470.00 515.00 -0.036684 12.921194
190 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 528.00 735.00 -3.000000 12.921194
191 49.800 0.0 4.0 1.50 0.50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 0 421.00 486.00 -0.123782 12.921194
192 48.600 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 943.00 1700.00 -0.173925 25.616113
193 48.600 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 356.00 420.00 -0.468521 25.616113
194 48.200 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 640.00 1780.00 -0.124939 25.659750
195 48.200 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.400 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 305.00 440.00 -0.080922 25.659750
196 47.800 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 850.00 1870.00 -0.075721 25.703717
197 47.800 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 0.800 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 395.00 465.00 -0.251812 25.703717
198 47.400 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 940.00 1900.00 -0.136677 25.748018
199 47.400 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.200 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 356.00 468.00 -0.142668 25.748018
200 47.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1032.00 2050.00 -0.070581 25.792657
201 47.000 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 1.600 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 305.00 550.00 -0.022276 25.792657
202 46.600 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1348.00 2030.00 -0.026872 25.837637
203 46.600 0.0 6.0 0.00 0.00 0.0 0.0 0.0 0.8 0.0 0.0 2.6 2.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 750 0 2 402.00 600.00 -0.468521 25.837637
204 42.000 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 615.00 1440.00 -0.193820 16.461811
205 42.000 0.0 7.5 0.00 0.60 0.0 0.0 0.0 0.0 0.0 0.0 4.9 0.100 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 204.00 392.00 -0.366532 16.461811
206 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 1 1665.00 2526.00 -0.492144 32.054137
207 50.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 0 2 780.00 2080.00 -0.552842 7.794381
208 50.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 2 780.00 2014.00 -0.070581 7.794381
209 50.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 680.00 1294.00 -0.468521 7.794381
210 50.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 420.00 1024.00 -0.267606 7.794381
211 50.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 0 2 200.00 840.00 -0.173925 7.794381
212 45.000 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 20 0 2 920.00 2250.00 -0.552842 12.731859
213 45.000 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 600 0 2 980.00 1943.00 -0.468521 12.731859
214 45.000 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 720.00 943.00 -0.443697 12.731859
215 45.000 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 2 430.00 693.00 -0.327902 12.731859
216 45.000 0.0 5.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 5.0 0.0 0.0 0.0 0.00 0.0 0.00 1000 0 2 250.00 492.00 -0.638272 12.731859
217 28.000 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1917.00 2150.00 -1.823909 29.865389
218 28.000 0.0 22.0 5.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1483.00 2088.00 -1.337242 29.865389
219 31.000 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 2140.00 2643.00 -1.173925 26.552406
220 31.000 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1643.00 2567.00 -0.806875 26.552406
221 31.000 0.0 18.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1108.00 2687.00 -0.565431 26.552406
222 35.000 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1653.00 2514.00 -0.978811 22.745911
223 35.000 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1342.00 2274.00 -0.906578 22.745911
224 35.000 0.0 14.0 5.00 1.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 909.00 3106.00 -0.497573 22.745911
225 37.000 0.0 18.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 1112.00 2321.00 -0.694649 26.270307
226 49.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 395.00 550.00 -2.096910 10.360102
227 49.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 309.00 400.00 -1.431798 10.360102
228 48.800 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 310.00 560.00 -1.978811 10.350292
229 48.800 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 300.00 500.00 -1.283997 10.350292
230 48.500 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 359.00 540.00 -2.000000 10.335507
231 48.500 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 305.00 470.00 -1.332547 10.335507
232 51.000 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 881.00 1113.00 -1.619789 39.935742
233 51.000 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 0 2 745.00 1070.00 -0.869666 39.935742
234 51.000 0.0 0.0 1.00 0.00 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 0 2 570.00 860.00 -0.468521 39.935742
235 50.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1100.00 1500.00 -1.301030 32.162537
236 50.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1500.00 1800.00 -0.721246 32.162537
237 50.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1520.00 2250.00 -0.602060 32.162537
238 50.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 1560.00 2500.00 -0.508638 32.162537
239 50.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 1020.00 1500.00 -0.275724 32.162537
240 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 150.00 313.63 -2.096910 32.054137
241 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 191.74 392.67 -1.557520 32.054137
242 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 371.85 426.88 -1.485452 32.054137
243 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 224.61 353.31 -1.165579 32.054137
244 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 440.43 527.77 -1.465974 32.054137
245 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 341.45 430.78 -1.124939 32.054137
246 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 543.55 672.33 -1.295849 32.054137
247 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 506.31 625.22 -1.143271 32.054137
248 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 607.35 730.09 -1.371611 32.054137
249 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 486.25 607.78 -1.101275 32.054137
250 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 353.31 464.61 -1.571865 32.054137
251 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 385.97 468.56 -1.244888 32.054137
252 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 524.56 632.83 -1.496209 32.054137
253 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 508.36 620.53 -1.128427 32.054137
254 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 586.21 690.42 -1.468521 32.054137
255 53.000 0.0 25.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 650 3 2 536.24 645.41 -1.153045 32.054137
256 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 480.00 520.00 -2.045757 15.827890
257 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 475.00 520.00 -1.000000 15.827890
258 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 0 490.00 530.00 -2.000000 15.827890
259 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 0 500.00 600.00 -0.346787 15.827890
260 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 600.00 650.00 -1.886057 15.827890
261 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 500.00 640.00 -0.318759 15.827890
262 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 1 650.00 710.00 -1.744727 15.827890
263 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 1 520.00 650.00 -0.356547 15.827890
264 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 3 2 480.00 500.00 -1.823909 15.827890
265 47.700 0.0 7.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.3 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 800 3 2 500.00 625.00 -0.376751 15.827890
266 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 312.00 570.00 -2.318759 10.282391
267 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 360.00 584.00 -2.397940 10.282391
268 45.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 0 2 395.00 453.00 -2.522879 10.395446
269 45.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 3.0 0.00 0.0 0.00 25 0 2 445.00 640.00 -2.187087 10.395446
270 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 100.00 150.00 -2.119186 8.218772
271 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 102.00 200.00 -2.167491 8.218772
272 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 104.00 240.00 -2.055517 8.218772
273 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 149.00 300.00 -2.036212 8.218772
274 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 2 190.00 373.00 -1.838632 8.218772
275 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 0 0 204.00 506.00 -1.578396 10.282391
276 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 850 0 0 302.00 520.00 -1.438899 10.282391
277 47.280 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 750 0 2 460.00 604.00 -1.249492 20.622857
278 46.380 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 650 0 2 503.00 780.00 -1.465974 33.430417
279 51.000 0.0 0.0 0.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 25 0 0 705.00 1039.00 -1.060481 8.218772
280 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 900 3 2 503.00 805.00 -1.026872 10.282391
281 48.000 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.00 700 3 0 704.00 935.00 -0.978811 10.282391
282 47.280 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 0.72 800 0 0 893.00 1034.00 -0.939302 20.622857
283 46.380 0.0 2.0 2.00 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.000 0.0 0.0 0.0 0.0 0.00 0.0 1.62 900 3 2 935.00 1235.00 -0.903090 33.430417
In [63]:
# Execute Ordinary Least Squares (OLS) module

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "Si(at%)", "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Re(at%)", "Ni(at%)", "O(at%)", 
                          "Y(at%)", "TiB2(at%)", "Test Temperature (°C)", "Synthesis Methods", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[63]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.843
Model: OLS Adj. R-squared (uncentered): 0.829
Method: Least Squares F-statistic: 60.89
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.53e-91
Time: 20:55:46 Log-Likelihood: -2076.5
No. Observations: 284 AIC: 4199.
Df Residuals: 261 BIC: 4283.
Df Model: 23
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.3423 1.388 4.569 0.000 3.609 9.076
Mn(at%) 20.1963 17.075 1.183 0.238 -13.426 53.819
Nb(at%) 30.5089 4.266 7.152 0.000 22.109 38.909
Cr(at%) 202.3700 21.155 9.566 0.000 160.713 244.027
Mo(at%) 164.8572 52.531 3.138 0.002 61.419 268.296
V(at%) 41.8510 27.513 1.521 0.129 -12.324 96.026
Zr(at%) 54.9489 49.252 1.116 0.266 -42.032 151.930
Hf(at%) 40.2656 54.532 0.738 0.461 -67.114 147.645
Ta(at%) 48.8424 64.711 0.755 0.451 -78.579 176.264
Si(at%) -222.2578 500.052 -0.444 0.657 -1206.908 762.392
W(at%) 203.8121 129.676 1.572 0.117 -51.533 459.157
C(at%) 108.2431 41.236 2.625 0.009 27.046 189.440
B(at%) 217.6744 79.716 2.731 0.007 60.707 374.642
Fe(at%) 201.4164 25.915 7.772 0.000 150.388 252.445
Ru(at%) 148.3514 63.203 2.347 0.020 23.898 272.805
Re(at%) 248.9966 907.328 0.274 0.784 -1537.618 2035.611
Ni(at%) -118.3834 90.917 -1.302 0.194 -297.407 60.640
O(at%) 1268.2382 750.658 1.690 0.092 -209.878 2746.354
Y(at%) -547.6458 930.584 -0.588 0.557 -2380.054 1284.763
TiB2(at%) 197.3593 128.766 1.533 0.127 -56.192 450.911
Test Temperature (°C) -0.2975 0.065 -4.546 0.000 -0.426 -0.169
Synthesis Methods -15.9561 25.100 -0.636 0.526 -65.380 33.468
Microstructure 78.9634 29.875 2.643 0.009 20.136 137.791
Omnibus: 32.613 Durbin-Watson: 1.261
Prob(Omnibus): 0.000 Jarque-Bera (JB): 53.400
Skew: 0.684 Prob(JB): 2.54e-12
Kurtosis: 4.625 Cond. No. 2.32e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.32e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [64]:
# Remove Re

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "Si(at%)", "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "Y(at%)", "TiB2(at%)", "Test Temperature (°C)", "Synthesis Methods", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[64]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.843
Model: OLS Adj. R-squared (uncentered): 0.830
Method: Least Squares F-statistic: 63.88
Date: Mon, 06 Sep 2021 Prob (F-statistic): 5.81e-92
Time: 20:55:46 Log-Likelihood: -2076.5
No. Observations: 284 AIC: 4197.
Df Residuals: 262 BIC: 4277.
Df Model: 22
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.3484 1.386 4.582 0.000 3.620 9.077
Mn(at%) 20.0483 17.036 1.177 0.240 -13.497 53.594
Nb(at%) 30.4387 4.251 7.161 0.000 22.069 38.808
Cr(at%) 202.3498 21.118 9.582 0.000 160.768 243.932
Mo(at%) 164.1204 52.370 3.134 0.002 61.001 267.240
V(at%) 41.6521 27.455 1.517 0.130 -12.408 95.712
Zr(at%) 51.4242 47.464 1.083 0.280 -42.034 144.883
Hf(at%) 36.5397 52.722 0.693 0.489 -67.273 140.352
Ta(at%) 48.5553 64.588 0.752 0.453 -78.622 175.733
Si(at%) -148.6777 421.348 -0.353 0.724 -978.338 680.982
W(at%) 187.5670 115.173 1.629 0.105 -39.215 414.349
C(at%) 108.2053 41.163 2.629 0.009 27.154 189.257
B(at%) 217.0729 79.545 2.729 0.007 60.445 373.701
Fe(at%) 201.1983 25.857 7.781 0.000 150.285 252.112
Ru(at%) 147.8719 63.068 2.345 0.020 23.688 272.056
Ni(at%) -118.7346 90.747 -1.308 0.192 -297.421 59.952
O(at%) 1264.4257 749.203 1.688 0.093 -210.801 2739.652
Y(at%) -548.0047 928.940 -0.590 0.556 -2377.142 1281.133
TiB2(at%) 196.3450 128.485 1.528 0.128 -56.650 449.340
Test Temperature (°C) -0.2974 0.065 -4.553 0.000 -0.426 -0.169
Synthesis Methods -15.6197 25.025 -0.624 0.533 -64.896 33.657
Microstructure 79.4425 29.772 2.668 0.008 20.821 138.064
Omnibus: 32.530 Durbin-Watson: 1.260
Prob(Omnibus): 0.000 Jarque-Bera (JB): 53.270
Skew: 0.682 Prob(JB): 2.71e-12
Kurtosis: 4.624 Cond. No. 2.27e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.27e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [65]:
# Remove Si

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "Y(at%)", "TiB2(at%)", "Test Temperature (°C)", "Synthesis Methods", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[65]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.843
Model: OLS Adj. R-squared (uncentered): 0.830
Method: Least Squares F-statistic: 67.14
Date: Mon, 06 Sep 2021 Prob (F-statistic): 7.43e-93
Time: 20:55:46 Log-Likelihood: -2076.6
No. Observations: 284 AIC: 4195.
Df Residuals: 263 BIC: 4272.
Df Model: 21
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.2712 1.366 4.591 0.000 3.582 8.961
Mn(at%) 19.9056 17.003 1.171 0.243 -13.574 53.385
Nb(at%) 30.4408 4.244 7.173 0.000 22.085 38.796
Cr(at%) 203.1447 20.962 9.691 0.000 161.870 244.420
Mo(at%) 164.1525 52.282 3.140 0.002 61.207 267.098
V(at%) 41.9379 27.397 1.531 0.127 -12.007 95.883
Zr(at%) 45.1152 43.894 1.028 0.305 -41.313 131.544
Hf(at%) 29.9208 49.190 0.608 0.544 -66.936 126.777
Ta(at%) 48.6806 64.479 0.755 0.451 -78.281 175.642
W(at%) 156.5596 74.327 2.106 0.036 10.208 302.911
C(at%) 108.8502 41.053 2.651 0.009 28.015 189.685
B(at%) 217.5383 79.401 2.740 0.007 61.195 373.881
Fe(at%) 201.4914 25.800 7.810 0.000 150.690 252.293
Ru(at%) 148.2615 62.953 2.355 0.019 24.306 272.217
Ni(at%) -118.1802 90.582 -1.305 0.193 -296.539 60.178
O(at%) 1263.2788 747.948 1.689 0.092 -209.450 2736.008
Y(at%) -548.1544 927.392 -0.591 0.555 -2374.213 1277.904
TiB2(at%) 196.3202 128.271 1.531 0.127 -56.249 448.889
Test Temperature (°C) -0.2942 0.065 -4.556 0.000 -0.421 -0.167
Synthesis Methods -14.0681 24.595 -0.572 0.568 -62.496 34.360
Microstructure 79.5090 29.721 2.675 0.008 20.987 138.031
Omnibus: 32.629 Durbin-Watson: 1.260
Prob(Omnibus): 0.000 Jarque-Bera (JB): 53.535
Skew: 0.683 Prob(JB): 2.37e-12
Kurtosis: 4.630 Cond. No. 2.27e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.27e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [66]:
# Remove Synthesis Methods

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "Y(at%)", "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[66]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.843
Model: OLS Adj. R-squared (uncentered): 0.831
Method: Least Squares F-statistic: 70.66
Date: Mon, 06 Sep 2021 Prob (F-statistic): 1.02e-93
Time: 20:55:46 Log-Likelihood: -2076.8
No. Observations: 284 AIC: 4194.
Df Residuals: 264 BIC: 4267.
Df Model: 20
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.0190 1.291 4.662 0.000 3.477 8.561
Mn(at%) 18.0794 16.680 1.084 0.279 -14.762 50.921
Nb(at%) 29.1983 3.641 8.020 0.000 22.030 36.367
Cr(at%) 206.0786 20.299 10.152 0.000 166.110 246.047
Mo(at%) 171.0219 50.819 3.365 0.001 70.959 271.085
V(at%) 42.6099 27.337 1.559 0.120 -11.216 96.436
Zr(at%) 47.5907 43.624 1.091 0.276 -38.305 133.487
Hf(at%) 33.4342 48.743 0.686 0.493 -62.540 129.408
Ta(at%) 51.4726 64.212 0.802 0.424 -74.961 177.906
W(at%) 159.0775 74.102 2.147 0.033 13.172 304.983
C(at%) 112.7490 40.432 2.789 0.006 33.139 192.359
B(at%) 221.3079 79.026 2.800 0.005 65.706 376.910
Fe(at%) 204.2185 25.324 8.064 0.000 154.356 254.081
Ru(at%) 152.4539 62.445 2.441 0.015 29.500 275.407
Ni(at%) -116.1686 90.398 -1.285 0.200 -294.162 61.825
O(at%) 1196.0301 737.708 1.621 0.106 -256.510 2648.571
Y(at%) -524.2448 925.268 -0.567 0.571 -2346.089 1297.600
TiB2(at%) 199.6010 127.979 1.560 0.120 -52.389 451.591
Test Temperature (°C) -0.2944 0.064 -4.566 0.000 -0.421 -0.167
Microstructure 80.4794 29.635 2.716 0.007 22.128 138.830
Omnibus: 34.211 Durbin-Watson: 1.263
Prob(Omnibus): 0.000 Jarque-Bera (JB): 57.598
Skew: 0.702 Prob(JB): 3.11e-13
Kurtosis: 4.702 Cond. No. 2.26e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.26e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [67]:
# Remove Y

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[67]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.842
Model: OLS Adj. R-squared (uncentered): 0.831
Method: Least Squares F-statistic: 74.56
Date: Mon, 06 Sep 2021 Prob (F-statistic): 1.37e-94
Time: 20:55:46 Log-Likelihood: -2076.9
No. Observations: 284 AIC: 4192.
Df Residuals: 265 BIC: 4261.
Df Model: 19
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.0648 1.287 4.713 0.000 3.531 8.599
Mn(at%) 17.3578 16.610 1.045 0.297 -15.346 50.061
Nb(at%) 29.2316 3.636 8.040 0.000 22.073 36.390
Cr(at%) 205.6346 20.258 10.151 0.000 165.748 245.521
Mo(at%) 172.1691 50.714 3.395 0.001 72.315 272.023
V(at%) 33.7120 22.347 1.509 0.133 -10.288 77.712
Zr(at%) 47.3554 43.566 1.087 0.278 -38.425 133.136
Hf(at%) 33.1264 48.677 0.681 0.497 -62.717 128.970
Ta(at%) 51.3291 64.129 0.800 0.424 -74.939 177.597
W(at%) 158.4041 73.997 2.141 0.033 12.707 304.101
C(at%) 112.8089 40.380 2.794 0.006 33.302 192.315
B(at%) 221.3264 78.925 2.804 0.005 65.926 376.727
Fe(at%) 204.4534 25.288 8.085 0.000 154.663 254.244
Ru(at%) 152.8441 62.361 2.451 0.015 30.058 275.630
Ni(at%) -115.8766 90.281 -1.284 0.200 -293.636 61.883
O(at%) 1236.1055 733.368 1.686 0.093 -207.865 2680.076
TiB2(at%) 201.2581 127.782 1.575 0.116 -50.339 452.855
Test Temperature (°C) -0.2961 0.064 -4.602 0.000 -0.423 -0.169
Microstructure 79.4417 29.540 2.689 0.008 21.278 137.606
Omnibus: 33.963 Durbin-Watson: 1.262
Prob(Omnibus): 0.000 Jarque-Bera (JB): 56.842
Skew: 0.700 Prob(JB): 4.54e-13
Kurtosis: 4.687 Cond. No. 1.78e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.78e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [68]:
# Remove Hf

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Ta(at%)",
                          "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[68]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.842
Model: OLS Adj. R-squared (uncentered): 0.831
Method: Least Squares F-statistic: 78.83
Date: Mon, 06 Sep 2021 Prob (F-statistic): 1.91e-95
Time: 20:55:46 Log-Likelihood: -2077.2
No. Observations: 284 AIC: 4190.
Df Residuals: 266 BIC: 4256.
Df Model: 18
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.2027 1.270 4.886 0.000 3.703 8.702
Mn(at%) 17.2276 16.592 1.038 0.300 -15.440 49.895
Nb(at%) 29.1256 3.629 8.027 0.000 21.981 36.270
Cr(at%) 204.8014 20.200 10.138 0.000 165.028 244.574
Mo(at%) 169.7754 50.541 3.359 0.001 70.264 269.286
V(at%) 33.1855 22.311 1.487 0.138 -10.743 77.114
Zr(at%) 45.7479 43.458 1.053 0.293 -39.818 131.314
Ta(at%) 50.1808 64.042 0.784 0.434 -75.914 176.276
W(at%) 154.9414 73.747 2.101 0.037 9.738 300.144
C(at%) 110.3235 40.174 2.746 0.006 31.224 189.423
B(at%) 229.4521 77.938 2.944 0.004 75.998 382.906
Fe(at%) 204.1123 25.257 8.081 0.000 154.382 253.842
Ru(at%) 152.4688 62.296 2.447 0.015 29.813 275.124
Ni(at%) -116.6915 90.182 -1.294 0.197 -294.253 60.870
O(at%) 1213.3309 731.865 1.658 0.099 -227.654 2654.315
TiB2(at%) 200.7037 127.650 1.572 0.117 -50.630 452.037
Test Temperature (°C) -0.3012 0.064 -4.719 0.000 -0.427 -0.176
Microstructure 78.5653 29.483 2.665 0.008 20.516 136.614
Omnibus: 33.058 Durbin-Watson: 1.263
Prob(Omnibus): 0.000 Jarque-Bera (JB): 54.669
Skew: 0.688 Prob(JB): 1.35e-12
Kurtosis: 4.651 Cond. No. 1.78e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.78e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [69]:
# Remove Ta

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)",
                          "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[69]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.842
Model: OLS Adj. R-squared (uncentered): 0.832
Method: Least Squares F-statistic: 83.55
Date: Mon, 06 Sep 2021 Prob (F-statistic): 2.78e-96
Time: 20:55:46 Log-Likelihood: -2077.5
No. Observations: 284 AIC: 4189.
Df Residuals: 267 BIC: 4251.
Df Model: 17
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.3400 1.257 5.046 0.000 3.866 8.814
Mn(at%) 17.0830 16.579 1.030 0.304 -15.559 49.724
Nb(at%) 28.9563 3.620 8.000 0.000 21.830 36.083
Cr(at%) 204.5742 20.184 10.136 0.000 164.835 244.314
Mo(at%) 167.5142 50.422 3.322 0.001 68.239 266.789
V(at%) 32.5542 22.280 1.461 0.145 -11.313 76.422
Zr(at%) 60.6709 39.035 1.554 0.121 -16.184 137.526
W(at%) 151.2319 73.542 2.056 0.041 6.436 296.028
C(at%) 119.6128 38.357 3.118 0.002 44.092 195.134
B(at%) 229.0660 77.880 2.941 0.004 75.729 382.403
Fe(at%) 203.5253 25.228 8.067 0.000 153.854 253.197
Ru(at%) 151.0494 62.224 2.427 0.016 28.537 273.562
Ni(at%) -117.2215 90.114 -1.301 0.194 -294.647 60.204
O(at%) 1163.1847 728.534 1.597 0.112 -271.217 2597.587
TiB2(at%) 198.2636 127.520 1.555 0.121 -52.809 449.336
Test Temperature (°C) -0.3007 0.064 -4.715 0.000 -0.426 -0.175
Microstructure 76.6600 29.361 2.611 0.010 18.852 134.468
Omnibus: 33.256 Durbin-Watson: 1.263
Prob(Omnibus): 0.000 Jarque-Bera (JB): 55.606
Skew: 0.687 Prob(JB): 8.42e-13
Kurtosis: 4.676 Cond. No. 1.78e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.78e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [70]:
# Remove Mn

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)",
                          "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[70]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.841
Model: OLS Adj. R-squared (uncentered): 0.832
Method: Least Squares F-statistic: 88.69
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.90e-97
Time: 20:55:46 Log-Likelihood: -2078.1
No. Observations: 284 AIC: 4188.
Df Residuals: 268 BIC: 4247.
Df Model: 16
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.3683 1.256 5.069 0.000 3.895 8.842
Nb(at%) 28.5420 3.598 7.934 0.000 21.459 35.625
Cr(at%) 203.4715 20.158 10.094 0.000 163.784 243.159
Mo(at%) 164.1889 50.324 3.263 0.001 65.108 263.270
V(at%) 31.2136 22.245 1.403 0.162 -12.583 75.011
Zr(at%) 59.9295 39.033 1.535 0.126 -16.920 136.779
W(at%) 149.1109 73.522 2.028 0.044 4.357 293.865
C(at%) 118.2499 38.339 3.084 0.002 42.767 193.733
B(at%) 226.1789 77.839 2.906 0.004 72.926 379.432
Fe(at%) 201.7911 25.175 8.016 0.000 152.226 251.357
Ru(at%) 147.3600 62.128 2.372 0.018 25.038 269.682
Ni(at%) -119.1933 90.104 -1.323 0.187 -296.596 58.209
O(at%) 1162.0130 728.617 1.595 0.112 -272.528 2596.554
TiB2(at%) 206.0676 127.310 1.619 0.107 -44.587 456.722
Test Temperature (°C) -0.2993 0.064 -4.694 0.000 -0.425 -0.174
Microstructure 80.4812 29.129 2.763 0.006 23.130 137.832
Omnibus: 32.768 Durbin-Watson: 1.273
Prob(Omnibus): 0.000 Jarque-Bera (JB): 54.359
Skew: 0.682 Prob(JB): 1.57e-12
Kurtosis: 4.654 Cond. No. 1.78e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.78e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [71]:
# Remove Ni

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)",
                          "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[71]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.840
Model: OLS Adj. R-squared (uncentered): 0.831
Method: Least Squares F-statistic: 94.22
Date: Mon, 06 Sep 2021 Prob (F-statistic): 1.18e-97
Time: 20:55:46 Log-Likelihood: -2079.0
No. Observations: 284 AIC: 4188.
Df Residuals: 269 BIC: 4243.
Df Model: 15
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.3489 1.258 5.047 0.000 3.872 8.826
Nb(at%) 28.9549 3.589 8.068 0.000 21.889 36.021
Cr(at%) 200.8066 20.085 9.998 0.000 161.263 240.350
Mo(at%) 167.0960 50.346 3.319 0.001 67.973 266.219
V(at%) 32.3567 22.259 1.454 0.147 -11.468 76.181
Zr(at%) 61.1193 39.077 1.564 0.119 -15.816 138.054
W(at%) 149.5068 73.624 2.031 0.043 4.555 294.458
C(at%) 119.5844 38.379 3.116 0.002 44.023 195.145
B(at%) 226.2966 77.947 2.903 0.004 72.833 379.760
Fe(at%) 202.4458 25.205 8.032 0.000 152.822 252.070
Ru(at%) 148.4430 62.210 2.386 0.018 25.963 270.923
O(at%) 1146.2893 729.535 1.571 0.117 -290.035 2582.613
TiB2(at%) 211.7620 127.414 1.662 0.098 -39.094 462.618
Test Temperature (°C) -0.2926 0.064 -4.596 0.000 -0.418 -0.167
Microstructure 76.4468 29.009 2.635 0.009 19.333 133.561
Omnibus: 32.433 Durbin-Watson: 1.252
Prob(Omnibus): 0.000 Jarque-Bera (JB): 53.124
Skew: 0.681 Prob(JB): 2.91e-12
Kurtosis: 4.624 Cond. No. 1.78e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.78e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [72]:
# Remove V

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "Zr(at%)",
                          "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[72]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.839
Model: OLS Adj. R-squared (uncentered): 0.830
Method: Least Squares F-statistic: 100.4
Date: Mon, 06 Sep 2021 Prob (F-statistic): 3.27e-98
Time: 20:55:46 Log-Likelihood: -2080.1
No. Observations: 284 AIC: 4188.
Df Residuals: 270 BIC: 4239.
Df Model: 14
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.5922 1.249 5.276 0.000 4.132 9.052
Nb(at%) 27.9796 3.533 7.920 0.000 21.024 34.935
Cr(at%) 199.4601 20.105 9.921 0.000 159.878 239.042
Mo(at%) 162.2463 50.339 3.223 0.001 63.139 261.353
Zr(at%) 58.2924 39.109 1.491 0.137 -18.704 135.289
W(at%) 141.3276 73.559 1.921 0.056 -3.495 286.150
C(at%) 116.9148 38.414 3.044 0.003 41.286 192.543
B(at%) 219.8594 77.981 2.819 0.005 66.331 373.388
Fe(at%) 199.1982 25.157 7.918 0.000 149.668 248.728
Ru(at%) 140.8836 62.119 2.268 0.024 18.583 263.184
O(at%) 1263.2865 726.574 1.739 0.083 -167.185 2693.758
TiB2(at%) 197.2276 127.283 1.550 0.122 -53.365 447.820
Test Temperature (°C) -0.2927 0.064 -4.589 0.000 -0.418 -0.167
Microstructure 80.6599 28.924 2.789 0.006 23.715 137.605
Omnibus: 32.157 Durbin-Watson: 1.257
Prob(Omnibus): 0.000 Jarque-Bera (JB): 51.982
Skew: 0.681 Prob(JB): 5.15e-12
Kurtosis: 4.593 Cond. No. 1.76e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.76e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [73]:
# Remove Zr

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)",
                          "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "O(at%)", 
                          "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[73]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.838
Model: OLS Adj. R-squared (uncentered): 0.830
Method: Least Squares F-statistic: 107.5
Date: Mon, 06 Sep 2021 Prob (F-statistic): 9.24e-99
Time: 20:55:46 Log-Likelihood: -2081.3
No. Observations: 284 AIC: 4189.
Df Residuals: 271 BIC: 4236.
Df Model: 13
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.9750 1.225 5.692 0.000 4.562 9.388
Nb(at%) 27.6000 3.532 7.815 0.000 20.647 34.553
Cr(at%) 197.9313 20.124 9.836 0.000 158.313 237.550
Mo(at%) 157.6247 50.357 3.130 0.002 58.485 256.765
W(at%) 132.7763 73.500 1.806 0.072 -11.928 277.481
C(at%) 112.3666 38.379 2.928 0.004 36.808 187.925
B(at%) 230.7840 77.811 2.966 0.003 77.593 383.975
Fe(at%) 198.3893 25.208 7.870 0.000 148.760 248.018
Ru(at%) 139.8755 62.256 2.247 0.025 17.309 262.442
O(at%) 1188.6583 726.479 1.636 0.103 -241.602 2618.918
TiB2(at%) 194.8158 127.559 1.527 0.128 -56.317 445.948
Test Temperature (°C) -0.3071 0.063 -4.860 0.000 -0.432 -0.183
Microstructure 78.2504 28.943 2.704 0.007 21.268 135.233
Omnibus: 30.348 Durbin-Watson: 1.243
Prob(Omnibus): 0.000 Jarque-Bera (JB): 47.424
Skew: 0.661 Prob(JB): 5.04e-11
Kurtosis: 4.504 Cond. No. 1.76e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.76e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [74]:
# Remove TiB2

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)",
                          "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "O(at%)", 
                          "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[74]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.836
Model: OLS Adj. R-squared (uncentered): 0.829
Method: Least Squares F-statistic: 115.6
Date: Mon, 06 Sep 2021 Prob (F-statistic): 2.66e-99
Time: 20:55:46 Log-Likelihood: -2082.5
No. Observations: 284 AIC: 4189.
Df Residuals: 272 BIC: 4233.
Df Model: 12
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 6.9579 1.228 5.664 0.000 4.539 9.376
Nb(at%) 27.0413 3.521 7.679 0.000 20.109 33.974
Cr(at%) 199.2360 20.155 9.885 0.000 159.557 238.915
Mo(at%) 149.9147 50.226 2.985 0.003 51.034 248.795
W(at%) 129.0031 73.639 1.752 0.081 -15.971 273.977
C(at%) 110.3339 38.449 2.870 0.004 34.638 186.030
B(at%) 226.4879 77.950 2.906 0.004 73.025 379.950
Fe(at%) 195.1715 25.181 7.751 0.000 145.596 244.747
Ru(at%) 132.7239 62.231 2.133 0.034 10.208 255.240
O(at%) 1175.5386 728.205 1.614 0.108 -258.097 2609.174
Test Temperature (°C) -0.2961 0.063 -4.705 0.000 -0.420 -0.172
Microstructure 83.8717 28.779 2.914 0.004 27.214 140.529
Omnibus: 29.802 Durbin-Watson: 1.222
Prob(Omnibus): 0.000 Jarque-Bera (JB): 45.880
Skew: 0.657 Prob(JB): 1.09e-10
Kurtosis: 4.467 Cond. No. 1.76e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.76e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [75]:
# Remove O

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)",
                          "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", 
                          "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[75]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.835
Model: OLS Adj. R-squared (uncentered): 0.828
Method: Least Squares F-statistic: 125.2
Date: Mon, 06 Sep 2021 Prob (F-statistic): 8.41e-100
Time: 20:55:47 Log-Likelihood: -2083.8
No. Observations: 284 AIC: 4190.
Df Residuals: 273 BIC: 4230.
Df Model: 11
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 7.7817 1.121 6.944 0.000 5.575 9.988
Nb(at%) 26.5508 3.518 7.546 0.000 19.624 33.478
Cr(at%) 193.1138 19.853 9.727 0.000 154.030 232.198
Mo(at%) 150.1617 50.373 2.981 0.003 50.993 249.330
W(at%) 111.1808 73.020 1.523 0.129 -32.573 254.935
C(at%) 117.2722 38.321 3.060 0.002 41.831 192.714
B(at%) 207.5381 77.288 2.685 0.008 55.383 359.694
Fe(at%) 193.7140 25.239 7.675 0.000 144.026 243.402
Ru(at%) 128.6811 62.363 2.063 0.040 5.907 251.455
Test Temperature (°C) -0.2997 0.063 -4.751 0.000 -0.424 -0.176
Microstructure 69.0387 27.353 2.524 0.012 15.190 122.887
Omnibus: 28.686 Durbin-Watson: 1.204
Prob(Omnibus): 0.000 Jarque-Bera (JB): 43.617
Skew: 0.640 Prob(JB): 3.38e-10
Kurtosis: 4.430 Cond. No. 1.94e+03


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.94e+03. This might indicate that there are
strong multicollinearity or other numerical problems.
In [76]:
# Remove W

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)",
                          "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", 
                          "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[76]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.833
Model: OLS Adj. R-squared (uncentered): 0.827
Method: Least Squares F-statistic: 136.8
Date: Mon, 06 Sep 2021 Prob (F-statistic): 2.20e-100
Time: 20:55:47 Log-Likelihood: -2085.1
No. Observations: 284 AIC: 4190.
Df Residuals: 274 BIC: 4227.
Df Model: 10
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 8.2686 1.077 7.680 0.000 6.149 10.388
Nb(at%) 26.1743 3.518 7.440 0.000 19.248 33.100
Cr(at%) 189.1843 19.732 9.588 0.000 150.339 228.029
Mo(at%) 145.5597 50.403 2.888 0.004 46.334 244.786
C(at%) 114.6818 38.375 2.988 0.003 39.135 190.229
B(at%) 207.3853 77.473 2.677 0.008 54.867 359.904
Fe(at%) 191.6417 25.263 7.586 0.000 141.907 241.376
Ru(at%) 124.0400 62.439 1.987 0.048 1.120 246.960
Test Temperature (°C) -0.2997 0.063 -4.740 0.000 -0.424 -0.175
Microstructure 62.4936 27.078 2.308 0.022 9.187 115.800
Omnibus: 27.769 Durbin-Watson: 1.198
Prob(Omnibus): 0.000 Jarque-Bera (JB): 41.466
Skew: 0.630 Prob(JB): 9.90e-10
Kurtosis: 4.384 Cond. No. 1.94e+03


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.94e+03. This might indicate that there are
strong multicollinearity or other numerical problems.
In [77]:
# Remove Ru

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)",
                          "C(at%)", "B(at%)", "Fe(at%)", 
                          "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Tensile Strength (MPa)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[77]:
OLS Regression Results
Dep. Variable: Tensile Strength (MPa) R-squared (uncentered): 0.831
Model: OLS Adj. R-squared (uncentered): 0.825
Method: Least Squares F-statistic: 150.0
Date: Mon, 06 Sep 2021 Prob (F-statistic): 1.22e-100
Time: 20:55:47 Log-Likelihood: -2087.1
No. Observations: 284 AIC: 4192.
Df Residuals: 275 BIC: 4225.
Df Model: 9
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) 8.2756 1.082 7.645 0.000 6.145 10.407
Nb(at%) 25.4196 3.516 7.229 0.000 18.497 32.342
Cr(at%) 185.4635 19.748 9.392 0.000 146.588 224.339
Mo(at%) 137.0714 50.490 2.715 0.007 37.676 236.467
C(at%) 112.3817 38.562 2.914 0.004 36.467 188.297
B(at%) 198.8816 77.768 2.557 0.011 45.785 351.978
Fe(at%) 186.7869 25.279 7.389 0.000 137.022 236.552
Test Temperature (°C) -0.2790 0.063 -4.449 0.000 -0.402 -0.156
Microstructure 68.6498 27.043 2.539 0.012 15.412 121.888
Omnibus: 28.709 Durbin-Watson: 1.180
Prob(Omnibus): 0.000 Jarque-Bera (JB): 42.460
Skew: 0.652 Prob(JB): 6.02e-10
Kurtosis: 4.373 Cond. No. 1.94e+03


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.94e+03. This might indicate that there are
strong multicollinearity or other numerical problems.

4.10 Multilayer Perceptron (MLP) (Tensile Strength)

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Once the ordinary least squares module was implemented and the leftover input independent (X) variables with the respective p-values of less than the threshold value of 0.05 were determined, the leftover independent (X) variables were set as the input columns and the dependent (y) variable (tensile strength) was set as the output for prediction. The input independent (X) variable columns which are statistically significant in the prediction of the yield strength are the titanium (Ti(at%)), niobium (Nb(at%)), chromium (Cr(at%)), molybdenum (Mo(at%)), carbon (C(at%)), boron (B(at%)), iron (Fe(at%)), test temperature (Test Temperature (°C)) and the microstructure (Microstructure) columns.

The standard configuration for the multilayer perceptron (MLP) model was similar as with the one used for the yield strength prediction with data scaling where the respective leftover independent (X) variables and the dependent (y) variable (tensile strength) had to be scaled with the StandardScalar module as the values were large and the multilayer perceptron (MLP) model may not be able to process the data and predict correctly. The scaling would produce normalized smaller values with centering and the multilayer perceptron (MLP) model will be able to process them properly and predict correctly.

Just as with the multilayer perceptron (MLP) model configuration seen for the cost prediction and yield strength prediction, the RandomizedSearchCV module was used to determine the best hyperparameters which are the hidden layer sizes, activation function, solver, alpha value, learning rate and maximum number of iterations.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the number of hidden layers it chose was 1 with 19 neurons. This was based on the nested cross validation of the already split 80:20 (80% train and 20% test) dataset.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the solver it chose for the deep gradient descent and backwards propagation to reduce the loss function to determine the smallest loss for the loss function (gradient descent local minima) was the log-linear "lbfgs" which is also known as the limited-memory-BFGS activation function. This solver is non-linear but the logarithmic values are linear.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the alpha value it chose was 1.03 which is already a logarithmic value derived from the range of 0.0001 to 0.05. The value is not too high and not too low but this value can be problem specific and usually a value slightly larger than 1 is commonly used. Therefore, it can be a little difficult to tell if the model has been underfitted or overfitted but based on the value selected by the RandomizedSearchCV function, it can be assumed that the model is just nice due to the value of alpha not being greater than 3.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the learning rate it chose was constant which is a type of learning rate where the updating of the weights after each successive deep gradient descent is constant with improvement in every successive loss function with every successive gradient descent with back propagation until the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the maximum number of iterations it chose was 5572. This hyperparameter indicates how many forward propagations to impose through the summation of weights of the input feature variables in each layer of the neural network are transformed into the output which will be the predicted tensile strength. The more the number of times the loss function is calculated with differentiation to allow deep gradient descent to occur with the larger the number of times the errors contributing to the loss function are determined with backwards propagation, the larger the number of times those errors discovered with each iteration will be rectified with weights adjustments to improve the overall loss function with gradient descent and forward propagation with each iteration until the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence. The value of 5572 indicates that the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence after 5572 iterations.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the activation function it chose was "relu" which is the rectified linear activation function. This indicates that the prediction for the tensile strength may be linear and since it chose the rectified linear activation function for the tensile strength prediction, the multilayer perceptron (MLP) model may work in a way similar to that of the linear regression model where the predicted relationship with the 20% test tensile strength values may be somewhat linear. This was true as the R2 value for the multilayer perceptron (MLP) model was 0.8444 with a normalized mean squared error of 0.16. This indicates that the multilayer perceptron (MLP) model is able to predict the tensile strength values using the input variables which have the most significant impact for the prediction based on the ordinary least squares (OLS) redundant input variables elimination as well as with the rest of the optimized hyperparameter selected by the RandomizedSearchCV function. This outcome will be used for the in-depth analysis during the graphical representation illustrated further, to produce the visualisation of how well the predicted tensile strength values from the multilayer perceptron (MLP) model (y_Random_Reg_Tensile_MLP_pred) correlate with the 20% (y_test_Tensile_Strength_MLP) tensile strength values.

In [78]:
# MLP for Tensile Strength

mySeed_MLP = np.random.seed(14)


# Define the MLP regressor

MLP = MLPRegressor(random_state = mySeed_MLP, shuffle = True)


# Define the independent (X) variable and dependent (y) variable

X_Tensile_Strength_MLP, y_Tensile_Strength_MLP = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Test Temperature (°C)", "Microstructure"]], Encoded_Dataset_2["Tensile Strength (MPa)"]


# Reshape the dependent (y) variable into an array

y_reshape_Tensile_Strength_MLP = y_Tensile_Strength_MLP.values.reshape(-1, 1)


# Perform the train-test split

X_train_Tensile_Strength_MLP, X_test_Tensile_Strength_MLP, y_train_Tensile_Strength_MLP, y_test_Tensile_Strength_MLP = train_test_split(X_Tensile_Strength_MLP, y_reshape_Tensile_Strength_MLP, 
                                                                                                               train_size = 0.8, test_size = 0.2)

# Perform scaling and centering of data

SS = StandardScaler()

X_Tensile_Strength_scale_MLP = SS.fit_transform(X_Tensile_Strength_MLP) 
y_Tensile_Strength_scale_MLP = SS.fit_transform(y_reshape_Tensile_Strength_MLP)

X_train_Tensile_scale_MLP = SS.fit_transform(X_train_Tensile_Strength_MLP)  
X_test_Tensile_scale_MLP = SS.fit_transform(X_test_Tensile_Strength_MLP)
y_train_Tensile_scale_MLP = SS.fit_transform(y_train_Tensile_Strength_MLP)  
y_test_Tensile_scale_MLP = SS.fit_transform(y_test_Tensile_Strength_MLP)


# Initialize the random grid

Random_Grid_Tensile = {"hidden_layer_sizes": [int(e) for e in np.arange(1,100)], 
                       "activation": ["relu", "tanh", "logistic"],
                       "solver": ["adam", "sgd", "lbfgs"], 
                       "alpha": [float(f) for f in np.logspace(0.0001,0.05)],
                       "learning_rate": ["constant", "adaptive"],
                       "max_iter": np.arange(1,10000,1)}


# Apply the RandomizedSearchCV

Random_Reg_Tensile_MLP = RandomizedSearchCV(MLP, Random_Grid_Tensile, n_jobs =- 1, cv = 5)

# Fit MLP using the optimized hyperparameters

Random_Reg_Tensile_MLP.fit(X_train_Tensile_scale_MLP, y_train_Tensile_scale_MLP.ravel())

Random_Reg_Tensile_MLP
Out[78]:
RandomizedSearchCV(cv=5, estimator=MLPRegressor(), n_jobs=-1,
                   param_distributions={'activation': ['relu', 'tanh',
                                                       'logistic'],
                                        'alpha': [1.0002302850208247,
                                                  1.0025784544921414,
                                                  1.0049321365938482,
                                                  1.0072913442675548,
                                                  1.0096560904852534,
                                                  1.01202638824939,
                                                  1.014402250592935,
                                                  1.0167836905794556,
                                                  1.019170721303187,
                                                  1.0215633558891057,
                                                  1.023961607493,
                                                  1.026365489301543,
                                                  1....
                                                  1.0556560693917905,
                                                  1.0581343580333953,
                                                  1.0606184647769075,
                                                  1.0631084032810711,
                                                  1.065604187236696,
                                                  1.0681058303667321,
                                                  1.0706133464263468, ...],
                                        'hidden_layer_sizes': [1, 2, 3, 4, 5, 6,
                                                               7, 8, 9, 10, 11,
                                                               12, 13, 14, 15,
                                                               16, 17, 18, 19,
                                                               20, 21, 22, 23,
                                                               24, 25, 26, 27,
                                                               28, 29, 30, ...],
                                        'learning_rate': ['constant',
                                                          'adaptive'],
                                        'max_iter': array([   1,    2,    3, ..., 9997, 9998, 9999]),
                                        'solver': ['adam', 'sgd', 'lbfgs']})
In [79]:
# MLP best parameters (Tensile Strength)

Random_Reg_Tensile_MLP.best_params_
Out[79]:
{'solver': 'lbfgs',
 'max_iter': 5572,
 'learning_rate': 'constant',
 'hidden_layer_sizes': 19,
 'alpha': 1.0287750145323662,
 'activation': 'relu'}
In [80]:
# MLP best estimator (Tensile Strength)

Random_Reg_Tensile_MLP.best_estimator_
Out[80]:
MLPRegressor(alpha=1.0287750145323662, hidden_layer_sizes=19, max_iter=5572,
             solver='lbfgs')
In [81]:
# MLP tensile strength prediction

y_Random_Reg_Tensile_MLP_pred = Random_Reg_Tensile_MLP.predict(X_test_Tensile_scale_MLP)

print("R² Value = %.4f" % r2_score(SS.inverse_transform(y_test_Tensile_scale_MLP), SS.inverse_transform(y_Random_Reg_Tensile_MLP_pred)))
print("Mean Squared Error = %.2f" % mean_squared_error(y_test_Tensile_scale_MLP, y_Random_Reg_Tensile_MLP_pred))
print("Mean Squared Error (Non-Normalized) = %.2f" % mean_squared_error(SS.inverse_transform(y_test_Tensile_scale_MLP), SS.inverse_transform(y_Random_Reg_Tensile_MLP_pred)))
R² Value = 0.8444
Mean Squared Error = 0.16
Mean Squared Error (Non-Normalized) = 54577.92

4.11 Dataframe Representation of Predicted Output Tensile Strength Values (MLP) with Input Target Tensile Strength Values (MLP)

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Once the predicted tensile strength values from the multilayer perceptron (MLP) model (y_Random_Reg_Tensile_MLP_pred) have been made according to (80:20) train-test split and the seed value of 14 for randomizing and shuffling with hyperparameters optimization from the RandomSearchCV function, the predicted results were added into a independent dataframe which contained the remaining 20% (y_test_Tensile_Strength_MLP) tensile strength values and the predicted (y_Random_Reg_Tensile_MLP_pred) tensile strength values in 2 seperate columns for visualisation of the predicted tensile strength values (y_Random_Reg_Tensile_MLP_pred) against the 20% (y_test_Tensile_Strength_MLP) actual tensile strength values.

The predicted tensile strength values (y_Random_Reg_Tensile_MLP_pred) when correlated with the test tensile strength values, have a R2 value of 0.8444 with a normalized mean squared error of 0.16 which is also generally good for tensile strength prediction as the correlations between the tensile strength with the input independent (X) variables defined by the ordinary least squared (OLS) module are generally good but not excellent. However, if all the elements atomic percentages (at%) and the encoded synthesis methods and microstructure are set as the input independent (X) variables, the R2 will definitely be worse than 0.8444 as it will incorporate the redundant correlations which have little to no effect on the prediction of the tensile strength and thereby, affect the predictions and produce bad R2 values. However, the non-normalized error is 54577.92 which is high but it should be noted that the prediction values are large and it is natural for the non-normalized error value to be somewhat large.

In [82]:
# Insert the predicted output tensile strength values with the input target tensile strength values

MLP_Tensile_Strength_Comparison = pd.DataFrame(SS.inverse_transform(y_test_Tensile_scale_MLP), columns = ["Tensile Strength Values MLP (y_test)"])
MLP_Tensile_Strength_Comparison.insert(1, "Tensile Strength Values MLP (y_pred)", SS.inverse_transform(y_Random_Reg_Tensile_MLP_pred))
MLP_Tensile_Strength_Comparison
Out[82]:
Tensile Strength Values MLP (y_test) Tensile Strength Values MLP (y_pred)
0 840.00 1161.432714
1 625.00 634.377529
2 764.00 727.044173
3 568.00 578.857892
4 710.00 768.441937
5 2274.00 2856.934848
6 3106.00 2856.934848
7 600.00 553.096197
8 414.00 562.275987
9 520.00 634.377529
10 620.53 317.426229
11 373.00 456.731191
12 581.00 786.662269
13 507.00 543.876402
14 526.00 586.004993
15 770.00 648.298435
16 776.00 815.582610
17 562.00 738.784425
18 2030.00 2126.310096
19 550.00 526.056507
20 604.00 841.420528
21 450.00 370.241808
22 875.00 620.557699
23 890.00 726.329492
24 680.00 726.329492
25 689.00 556.643448
26 482.00 576.186495
27 690.42 602.524768
28 1700.00 1046.653492
29 522.00 562.275987
30 777.00 902.067668
31 313.63 602.524768
32 515.00 450.600028
33 2567.00 3103.620904
34 2500.00 1601.555446
35 547.00 679.906239
36 780.00 826.823085
37 509.00 652.898748
38 482.00 475.294573
39 413.00 573.080175
40 468.00 502.529328
41 670.00 893.938842
42 730.00 656.084530
43 1943.00 1586.207025
44 579.00 588.075205
45 750.00 689.068142
46 440.00 499.489965
47 550.00 782.910475
48 584.00 700.838989
49 546.00 810.912656
50 695.00 418.800556
51 679.00 578.857892
52 596.00 700.838989
53 599.00 607.238361
54 392.67 602.524768
55 820.00 757.076581
56 507.00 543.876402

4.12 Graphical Representation of Predicted Output Tensile Strength Values (MLP) with Input Target Tensile Strength Values (MLP)

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This graphical representation was made to show the visualisation of the predicted tensile strength values from the hyperparameter optimized multilayer perceptron (MLP) model (y_Random_Reg_Tensile_MLP_pred) against the 20% test tensile strength values (y_test_Tensile_Strength_MLP). The blue scatter plot represents the correlation relationship between the predicted tensile strength values (y_Random_Reg_Tensile_MLP_pred) against the 20% test tensile strength values (y_test_Tensile_Strength_MLP).

The trendline was also calculated using a polynomial fit to produce the trendline of the blue scatter plot with its equation displayed. The R2 value produced from the multilayer perceptron (MLP) model and the R2 value calculated from the trendline were also displayed accordingly. The R2 value from the multilayer perceptron (MLP) model was 0.8444 while the one calculated from the trendline was 0.849.

Based on the comparison of the R2 values from both the multilayer perceptron (MLP) model and the one from the trendline, both are almost identical. It should be noted that there are some outliers present which is expected due to the complexity of the tensile strength prediction with respect to the indpendent input variables used according to the ordinary least squares (OLS) module. This is one of the challenges faced when predicting the tensile strength just like for yield strength prediction. However, based on the R2 value of 0.8444 from the multilayer perceptron (MLP) model and the indpendent input variables used according to the ordinary least squares (OLS) module, it can be considered to be a good prediction with room for improvement.

The unique property of the rectified linear activation function ("relu") is that it works in such a way that the linearity will lie with a range of values between zero and infinity. This is essential for the prediction of the tensile strength as tensile strength values are always positive and can never be negative. The range of positive values can lie anywhere within the positive scale towards very high positive values and the upper bound of infinity provides an endless possibility of predicting the positive values of the tensile strength with respect to the other optimized hyperparameters derived from the RandomizedSearchCV and the statistically significant input independent (X) variables. This phenomenon can clearly seen from the graphical representation.

In [83]:
# MLP Tensile Strength Graph


# Definition of x and y axes variables

Tensile_Strength_Plot_MLP = MLP_Tensile_Strength_Comparison.plot.scatter(x = "Tensile Strength Values MLP (y_test)", y = "Tensile Strength Values MLP (y_pred)", c="Blue", 
                                                                     figsize = (10, 7))


Legend_Tensile_Strength_MLP = plt.legend(["Tensile Strength Values MLP (y_pred) Vs. Tensile Strength Values MLP (y_test)"], title = None, bbox_to_anchor = (1, 0.9), 
                                       loc = "lower left")

plt.gca().add_artist(Legend_Tensile_Strength_MLP)


# Display trendline, respective equation and trendline R2 value

x_Tensile_Strength_MLP = MLP_Tensile_Strength_Comparison["Tensile Strength Values MLP (y_test)"]
y_Tensile_Strength_MLP = MLP_Tensile_Strength_Comparison["Tensile Strength Values MLP (y_pred)"]
z_Tensile_Strength_MLP = np.polyfit(x_Tensile_Strength_MLP, y_Tensile_Strength_MLP, 1)
p_Tensile_Strength_MLP = np.poly1d(z_Tensile_Strength_MLP)
y_hat_Tensile_Strength_MLP = np.poly1d(z_Tensile_Strength_MLP)(x_Tensile_Strength_MLP)

Text_Tensile_Strength_MLP = f"y = {z_Tensile_Strength_MLP[0]:0.3f}x{z_Tensile_Strength_MLP[1]:+0.3f}\nR² (Trendline) = {r2_score(y_Tensile_Strength_MLP, y_hat_Tensile_Strength_MLP):0.3f}"

Trendline_Tensile_Strength_MLP = plt.plot(x_Tensile_Strength_MLP, p(x_Tensile_Strength_MLP), c = "Red")

Legend_Reference_Tensile_Strength_MLP = plt.legend(["Data Trendline"], title = None, bbox_to_anchor = (1, 0.9), loc = "upper left")


# Plotting of MLP Tensile Strength Graph

plt.title("Graph of Predicted Output Tensile Strength Values MLP (y_pred) Vs. True Input Tensile Strength Values MLP (y_test)")
plt.xlabel("True Input Tensile Strength Values MLP (y_test)")
plt.ylabel("Predicted Output Tensile Strength Values MLP (y_pred)")

print("Tensile Strength (MLP Regression)")
print(" ")
print("R² Value = %.4f" % r2_score(SS.inverse_transform(y_test_Tensile_scale_MLP), SS.inverse_transform(y_Random_Reg_Tensile_MLP_pred)))
print("Mean Squared Error = %.2f" % mean_squared_error(y_test_Tensile_scale_MLP, y_Random_Reg_Tensile_MLP_pred))
print("Mean Squared Error (Non-Normalized) = %.2f" % mean_squared_error(SS.inverse_transform(y_test_Tensile_scale_MLP), SS.inverse_transform(y_Random_Reg_Tensile_MLP_pred)))
print(" ")
print(Text_Tensile_Strength_MLP)
print(" ")

plt.show()
Tensile Strength (MLP Regression)
 
R² Value = 0.8444
Mean Squared Error = 0.16
Mean Squared Error (Non-Normalized) = 54577.92
 
y = 0.902x+98.218
R² (Trendline) = 0.849
 

4.13 Elongation Best Parameters Selection (MLP)

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After using the multilayer perceptron (MLP) model to predict the cost, yield strength and tensile strength the final major task is to predict the elongation. Compared with cost, the elongation is also not easy to predict as the predicted relationship may not be linear as with cost.

If all the elements atomic percentages (at%) columns together with the encoded synthesis methods and microstructure columns are set as the independent (X) variables and the elongation column is set as the dependent (y) variable which is to be predicted, the predictions can have a high chance to be inaccurate as some of the columns which have been set as the input columns have little to no correlations with the elongation and their redundant correlations will cause the multilayer perceptron (MLP) model to take them into consideration and produce bad predictions with bad R2 values together with the nature of the complex dataset. The redundant correlations can be seen and compared in the pearson correlations table in section 2.17.

The first step in predicting the elongation would be to do generalization just as for what was done for the yield strength and tensile strength predictions. Generalization, in this case, would be to implement the ordinary least squares (OLS) module to display all the columns that are to be used as the indpendent (X) input variables and set the dependent (y) variable to be the elongation column. Generalization will be able to measure the p-values which are the probability values. A p-value of less than 0.05 is statistically significant and it implies that it has significance to the dependent (y) variable which is the elongation and it rejects the null hypothesis. Any input variable with p-values larger than 0.05 will have little to no significance in the prediction of the elongation as it retains the null hypothesis.

Therefore, the ordinary least squares (OLS) module will be executed as many times as possible with the removel of the input independent (X) variable that produces the largest p-value each time until all the leftover input independent (X) variables have their respective p-values below the threshold value of 0.05. The elimination of all input independent (X) variables using the ordinary least squares (OLS) module, were executed below until the leftover input independent (X) variables have their respective p-values below the threshold value of 0.05. The elongation values have already be set to log values with base 10.

In [84]:
# Execute Ordinary Least Squares (OLS) module

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "Si(at%)", "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Re(at%)", "Ni(at%)", "O(at%)", 
                          "Y(at%)", "TiB2(at%)", "Test Temperature (°C)", "Synthesis Methods", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Log 10 (Elongation)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[84]:
OLS Regression Results
Dep. Variable: Log 10 (Elongation) R-squared (uncentered): 0.886
Model: OLS Adj. R-squared (uncentered): 0.876
Method: Least Squares F-statistic: 88.40
Date: Mon, 06 Sep 2021 Prob (F-statistic): 3.96e-109
Time: 20:55:51 Log-Likelihood: -207.82
No. Observations: 284 AIC: 461.6
Df Residuals: 261 BIC: 545.6
Df Model: 23
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) -0.0360 0.002 -18.660 0.000 -0.040 -0.032
Mn(at%) -0.0105 0.024 -0.441 0.660 -0.057 0.036
Nb(at%) 0.0194 0.006 3.281 0.001 0.008 0.031
Cr(at%) -0.0489 0.029 -1.664 0.097 -0.107 0.009
Mo(at%) 0.1269 0.073 1.740 0.083 -0.017 0.270
V(at%) -0.0196 0.038 -0.514 0.608 -0.095 0.056
Zr(at%) -0.1874 0.068 -2.740 0.007 -0.322 -0.053
Hf(at%) -0.2463 0.076 -3.254 0.001 -0.395 -0.097
Ta(at%) -0.0234 0.090 -0.260 0.795 -0.200 0.153
Si(at%) 1.5721 0.694 2.265 0.024 0.205 2.939
W(at%) -0.5569 0.180 -3.094 0.002 -0.911 -0.202
C(at%) 0.3427 0.057 5.987 0.000 0.230 0.455
B(at%) 0.0448 0.111 0.405 0.686 -0.173 0.263
Fe(at%) 0.1258 0.036 3.498 0.001 0.055 0.197
Ru(at%) 0.1822 0.088 2.077 0.039 0.009 0.355
Re(at%) -0.5569 1.259 -0.442 0.659 -3.037 1.923
Ni(at%) -0.1844 0.126 -1.461 0.145 -0.433 0.064
O(at%) 0.8901 1.042 0.854 0.394 -1.162 2.942
Y(at%) 0.4474 1.292 0.346 0.729 -2.096 2.991
TiB2(at%) -0.0660 0.179 -0.369 0.712 -0.418 0.286
Test Temperature (°C) 0.0012 9.08e-05 12.854 0.000 0.001 0.001
Synthesis Methods -0.0076 0.035 -0.217 0.829 -0.076 0.061
Microstructure -0.0770 0.041 -1.856 0.065 -0.159 0.005
Omnibus: 6.462 Durbin-Watson: 1.404
Prob(Omnibus): 0.040 Jarque-Bera (JB): 6.257
Skew: 0.318 Prob(JB): 0.0438
Kurtosis: 3.354 Cond. No. 2.32e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.32e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [85]:
# Remove Synthesis Methods

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", "Ta(at%)",
                          "Si(at%)", "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Re(at%)", "Ni(at%)", "O(at%)", 
                          "Y(at%)", "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Log 10 (Elongation)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[85]:
OLS Regression Results
Dep. Variable: Log 10 (Elongation) R-squared (uncentered): 0.886
Model: OLS Adj. R-squared (uncentered): 0.877
Method: Least Squares F-statistic: 92.75
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.16e-110
Time: 20:55:51 Log-Likelihood: -207.84
No. Observations: 284 AIC: 459.7
Df Residuals: 262 BIC: 540.0
Df Model: 22
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) -0.0361 0.002 -19.960 0.000 -0.040 -0.033
Mn(at%) -0.0114 0.023 -0.492 0.623 -0.057 0.034
Nb(at%) 0.0188 0.005 3.681 0.000 0.009 0.029
Cr(at%) -0.0472 0.028 -1.667 0.097 -0.103 0.009
Mo(at%) 0.1304 0.071 1.838 0.067 -0.009 0.270
V(at%) -0.0193 0.038 -0.506 0.614 -0.094 0.056
Zr(at%) -0.1872 0.068 -2.743 0.007 -0.322 -0.053
Hf(at%) -0.2457 0.076 -3.254 0.001 -0.394 -0.097
Ta(at%) -0.0219 0.089 -0.245 0.806 -0.198 0.154
Si(at%) 1.5983 0.682 2.343 0.020 0.255 2.942
W(at%) -0.5611 0.179 -3.141 0.002 -0.913 -0.209
C(at%) 0.3448 0.056 6.124 0.000 0.234 0.456
B(at%) 0.0468 0.110 0.425 0.671 -0.170 0.264
Fe(at%) 0.1273 0.035 3.607 0.000 0.058 0.197
Ru(at%) 0.1844 0.087 2.120 0.035 0.013 0.356
Re(at%) -0.5702 1.256 -0.454 0.650 -3.043 1.902
Ni(at%) -0.1833 0.126 -1.456 0.146 -0.431 0.065
O(at%) 0.8548 1.027 0.832 0.406 -1.168 2.878
Y(at%) 0.4598 1.288 0.357 0.721 -2.077 2.996
TiB2(at%) -0.0643 0.178 -0.361 0.719 -0.415 0.287
Test Temperature (°C) 0.0012 9.07e-05 12.883 0.000 0.001 0.001
Microstructure -0.0764 0.041 -1.850 0.065 -0.158 0.005
Omnibus: 6.663 Durbin-Watson: 1.405
Prob(Omnibus): 0.036 Jarque-Bera (JB): 6.473
Skew: 0.323 Prob(JB): 0.0393
Kurtosis: 3.359 Cond. No. 2.31e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.31e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [86]:
# Remove Ta

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", 
                          "Si(at%)", "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Re(at%)", "Ni(at%)", "O(at%)", 
                          "Y(at%)", "TiB2(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Log 10 (Elongation)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[86]:
OLS Regression Results
Dep. Variable: Log 10 (Elongation) R-squared (uncentered): 0.886
Model: OLS Adj. R-squared (uncentered): 0.877
Method: Least Squares F-statistic: 97.51
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.28e-111
Time: 20:55:51 Log-Likelihood: -207.87
No. Observations: 284 AIC: 457.7
Df Residuals: 263 BIC: 534.4
Df Model: 21
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) -0.0362 0.002 -20.227 0.000 -0.040 -0.033
Mn(at%) -0.0114 0.023 -0.490 0.624 -0.057 0.034
Nb(at%) 0.0189 0.005 3.710 0.000 0.009 0.029
Cr(at%) -0.0471 0.028 -1.667 0.097 -0.103 0.009
Mo(at%) 0.1315 0.071 1.860 0.064 -0.008 0.271
V(at%) -0.0189 0.038 -0.499 0.618 -0.094 0.056
Zr(at%) -0.1936 0.063 -3.072 0.002 -0.318 -0.069
Hf(at%) -0.2451 0.075 -3.254 0.001 -0.393 -0.097
Si(at%) 1.5954 0.681 2.343 0.020 0.255 2.936
W(at%) -0.5588 0.178 -3.138 0.002 -0.909 -0.208
C(at%) 0.3408 0.054 6.339 0.000 0.235 0.447
B(at%) 0.0468 0.110 0.426 0.670 -0.169 0.263
Fe(at%) 0.1275 0.035 3.623 0.000 0.058 0.197
Ru(at%) 0.1851 0.087 2.133 0.034 0.014 0.356
Re(at%) -0.5641 1.253 -0.450 0.653 -3.032 1.903
Ni(at%) -0.1831 0.126 -1.457 0.146 -0.430 0.064
O(at%) 0.8769 1.022 0.858 0.391 -1.135 2.888
Y(at%) 0.4586 1.286 0.357 0.722 -2.073 2.990
TiB2(at%) -0.0632 0.178 -0.355 0.723 -0.413 0.287
Test Temperature (°C) 0.0012 9.05e-05 12.905 0.000 0.001 0.001
Microstructure -0.0756 0.041 -1.839 0.067 -0.157 0.005
Omnibus: 6.892 Durbin-Watson: 1.405
Prob(Omnibus): 0.032 Jarque-Bera (JB): 6.727
Skew: 0.328 Prob(JB): 0.0346
Kurtosis: 3.370 Cond. No. 2.31e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.31e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [87]:
# Remove TiB2

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", 
                          "Si(at%)", "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Re(at%)", "Ni(at%)", "O(at%)", 
                          "Y(at%)", "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Log 10 (Elongation)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[87]:
OLS Regression Results
Dep. Variable: Log 10 (Elongation) R-squared (uncentered): 0.886
Model: OLS Adj. R-squared (uncentered): 0.878
Method: Least Squares F-statistic: 102.7
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.43e-112
Time: 20:55:52 Log-Likelihood: -207.94
No. Observations: 284 AIC: 455.9
Df Residuals: 264 BIC: 528.9
Df Model: 20
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) -0.0362 0.002 -20.262 0.000 -0.040 -0.033
Mn(at%) -0.0119 0.023 -0.513 0.608 -0.057 0.034
Nb(at%) 0.0191 0.005 3.779 0.000 0.009 0.029
Cr(at%) -0.0476 0.028 -1.687 0.093 -0.103 0.008
Mo(at%) 0.1341 0.070 1.911 0.057 -0.004 0.272
V(at%) -0.0183 0.038 -0.482 0.630 -0.093 0.056
Zr(at%) -0.1930 0.063 -3.069 0.002 -0.317 -0.069
Hf(at%) -0.2447 0.075 -3.254 0.001 -0.393 -0.097
Si(at%) 1.5898 0.680 2.339 0.020 0.252 2.928
W(at%) -0.5562 0.178 -3.131 0.002 -0.906 -0.206
C(at%) 0.3415 0.054 6.368 0.000 0.236 0.447
B(at%) 0.0483 0.110 0.440 0.660 -0.168 0.264
Fe(at%) 0.1286 0.035 3.675 0.000 0.060 0.198
Ru(at%) 0.1875 0.086 2.171 0.031 0.017 0.358
Re(at%) -0.5506 1.251 -0.440 0.660 -3.013 1.912
Ni(at%) -0.1816 0.125 -1.449 0.149 -0.428 0.065
O(at%) 0.8790 1.020 0.862 0.390 -1.129 2.887
Y(at%) 0.4692 1.283 0.366 0.715 -2.058 2.996
Test Temperature (°C) 0.0012 8.98e-05 12.961 0.000 0.001 0.001
Microstructure -0.0775 0.041 -1.904 0.058 -0.158 0.003
Omnibus: 7.128 Durbin-Watson: 1.405
Prob(Omnibus): 0.028 Jarque-Bera (JB): 6.975
Skew: 0.336 Prob(JB): 0.0306
Kurtosis: 3.370 Cond. No. 2.31e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.31e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [88]:
# Remove Y

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "V(at%)", "Zr(at%)", "Hf(at%)", 
                          "Si(at%)", "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Re(at%)", "Ni(at%)", "O(at%)", 
                          "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Log 10 (Elongation)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[88]:
OLS Regression Results
Dep. Variable: Log 10 (Elongation) R-squared (uncentered): 0.886
Model: OLS Adj. R-squared (uncentered): 0.878
Method: Least Squares F-statistic: 108.5
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.48e-113
Time: 20:55:52 Log-Likelihood: -208.01
No. Observations: 284 AIC: 454.0
Df Residuals: 265 BIC: 523.4
Df Model: 19
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) -0.0362 0.002 -20.359 0.000 -0.040 -0.033
Mn(at%) -0.0112 0.023 -0.488 0.626 -0.057 0.034
Nb(at%) 0.0190 0.005 3.781 0.000 0.009 0.029
Cr(at%) -0.0472 0.028 -1.677 0.095 -0.103 0.008
Mo(at%) 0.1331 0.070 1.901 0.058 -0.005 0.271
V(at%) -0.0103 0.031 -0.333 0.739 -0.071 0.051
Zr(at%) -0.1928 0.063 -3.071 0.002 -0.316 -0.069
Hf(at%) -0.2445 0.075 -3.257 0.001 -0.392 -0.097
Si(at%) 1.5919 0.678 2.346 0.020 0.256 2.928
W(at%) -0.5560 0.177 -3.135 0.002 -0.905 -0.207
C(at%) 0.3415 0.054 6.378 0.000 0.236 0.447
B(at%) 0.0483 0.109 0.441 0.659 -0.167 0.264
Fe(at%) 0.1285 0.035 3.676 0.000 0.060 0.197
Ru(at%) 0.1872 0.086 2.171 0.031 0.017 0.357
Re(at%) -0.5519 1.248 -0.442 0.659 -3.010 1.906
Ni(at%) -0.1818 0.125 -1.453 0.147 -0.428 0.065
O(at%) 0.8431 1.013 0.832 0.406 -1.152 2.839
Test Temperature (°C) 0.0012 8.96e-05 13.011 0.000 0.001 0.001
Microstructure -0.0766 0.041 -1.889 0.060 -0.156 0.003
Omnibus: 7.101 Durbin-Watson: 1.404
Prob(Omnibus): 0.029 Jarque-Bera (JB): 6.943
Skew: 0.336 Prob(JB): 0.0311
Kurtosis: 3.367 Cond. No. 2.31e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.31e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [89]:
# Remove V

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "Zr(at%)", "Hf(at%)", 
                          "Si(at%)", "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Re(at%)", "Ni(at%)", "O(at%)", 
                          "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Log 10 (Elongation)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[89]:
OLS Regression Results
Dep. Variable: Log 10 (Elongation) R-squared (uncentered): 0.886
Model: OLS Adj. R-squared (uncentered): 0.878
Method: Least Squares F-statistic: 114.9
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.35e-114
Time: 20:55:52 Log-Likelihood: -208.07
No. Observations: 284 AIC: 452.1
Df Residuals: 266 BIC: 517.8
Df Model: 18
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) -0.0363 0.002 -20.644 0.000 -0.040 -0.033
Mn(at%) -0.0107 0.023 -0.468 0.640 -0.056 0.034
Nb(at%) 0.0194 0.005 3.923 0.000 0.010 0.029
Cr(at%) -0.0467 0.028 -1.665 0.097 -0.102 0.009
Mo(at%) 0.1347 0.070 1.931 0.055 -0.003 0.272
Zr(at%) -0.1918 0.063 -3.064 0.002 -0.315 -0.069
Hf(at%) -0.2438 0.075 -3.254 0.001 -0.391 -0.096
Si(at%) 1.5918 0.677 2.350 0.019 0.258 2.925
W(at%) -0.5533 0.177 -3.129 0.002 -0.901 -0.205
C(at%) 0.3424 0.053 6.415 0.000 0.237 0.448
B(at%) 0.0502 0.109 0.460 0.646 -0.165 0.265
Fe(at%) 0.1295 0.035 3.726 0.000 0.061 0.198
Ru(at%) 0.1896 0.086 2.210 0.028 0.021 0.359
Re(at%) -0.5376 1.246 -0.432 0.666 -2.990 1.915
Ni(at%) -0.1802 0.125 -1.443 0.150 -0.426 0.066
O(at%) 0.8065 1.006 0.802 0.423 -1.174 2.787
Test Temperature (°C) 0.0012 8.94e-05 13.041 0.000 0.001 0.001
Microstructure -0.0780 0.040 -1.936 0.054 -0.157 0.001
Omnibus: 7.204 Durbin-Watson: 1.401
Prob(Omnibus): 0.027 Jarque-Bera (JB): 7.048
Skew: 0.340 Prob(JB): 0.0295
Kurtosis: 3.366 Cond. No. 2.31e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.31e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [90]:
# Remove Re

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Mn(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "Zr(at%)", "Hf(at%)", 
                          "Si(at%)", "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Log 10 (Elongation)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[90]:
OLS Regression Results
Dep. Variable: Log 10 (Elongation) R-squared (uncentered): 0.886
Model: OLS Adj. R-squared (uncentered): 0.879
Method: Least Squares F-statistic: 122.0
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.25e-115
Time: 20:55:52 Log-Likelihood: -208.17
No. Observations: 284 AIC: 450.3
Df Residuals: 267 BIC: 512.4
Df Model: 17
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) -0.0363 0.002 -20.696 0.000 -0.040 -0.033
Mn(at%) -0.0105 0.023 -0.459 0.646 -0.056 0.035
Nb(at%) 0.0194 0.005 3.944 0.000 0.010 0.029
Cr(at%) -0.0465 0.028 -1.661 0.098 -0.102 0.009
Mo(at%) 0.1364 0.070 1.962 0.051 -0.000 0.273
Zr(at%) -0.1840 0.060 -3.075 0.002 -0.302 -0.066
Hf(at%) -0.2357 0.072 -3.254 0.001 -0.378 -0.093
Si(at%) 1.4351 0.571 2.514 0.013 0.311 2.559
W(at%) -0.5187 0.157 -3.295 0.001 -0.829 -0.209
C(at%) 0.3428 0.053 6.432 0.000 0.238 0.448
B(at%) 0.0515 0.109 0.473 0.637 -0.163 0.266
Fe(at%) 0.1300 0.035 3.749 0.000 0.062 0.198
Ru(at%) 0.1906 0.086 2.227 0.027 0.022 0.359
Ni(at%) -0.1795 0.125 -1.440 0.151 -0.425 0.066
O(at%) 0.8120 1.004 0.809 0.419 -1.165 2.789
Test Temperature (°C) 0.0012 8.93e-05 13.061 0.000 0.001 0.001
Microstructure -0.0789 0.040 -1.964 0.051 -0.158 0.000
Omnibus: 7.247 Durbin-Watson: 1.402
Prob(Omnibus): 0.027 Jarque-Bera (JB): 7.080
Skew: 0.344 Prob(JB): 0.0290
Kurtosis: 3.355 Cond. No. 1.77e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.77e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [91]:
# Remove Mn

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "Zr(at%)", "Hf(at%)", 
                          "Si(at%)", "W(at%)", "C(at%)", "B(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Log 10 (Elongation)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[91]:
OLS Regression Results
Dep. Variable: Log 10 (Elongation) R-squared (uncentered): 0.886
Model: OLS Adj. R-squared (uncentered): 0.879
Method: Least Squares F-statistic: 130.0
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.07e-116
Time: 20:55:52 Log-Likelihood: -208.28
No. Observations: 284 AIC: 448.6
Df Residuals: 268 BIC: 507.0
Df Model: 16
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) -0.0363 0.002 -20.736 0.000 -0.040 -0.033
Nb(at%) 0.0197 0.005 4.024 0.000 0.010 0.029
Cr(at%) -0.0459 0.028 -1.643 0.102 -0.101 0.009
Mo(at%) 0.1386 0.069 2.001 0.046 0.002 0.275
Zr(at%) -0.1837 0.060 -3.074 0.002 -0.301 -0.066
Hf(at%) -0.2355 0.072 -3.256 0.001 -0.378 -0.093
Si(at%) 1.4370 0.570 2.521 0.012 0.315 2.559
W(at%) -0.5179 0.157 -3.295 0.001 -0.827 -0.208
C(at%) 0.3436 0.053 6.461 0.000 0.239 0.448
B(at%) 0.0532 0.109 0.489 0.625 -0.161 0.267
Fe(at%) 0.1311 0.035 3.794 0.000 0.063 0.199
Ru(at%) 0.1929 0.085 2.260 0.025 0.025 0.361
Ni(at%) -0.1783 0.124 -1.433 0.153 -0.423 0.067
O(at%) 0.8164 1.003 0.814 0.416 -1.158 2.790
Test Temperature (°C) 0.0012 8.91e-05 13.073 0.000 0.001 0.001
Microstructure -0.0813 0.040 -2.043 0.042 -0.160 -0.003
Omnibus: 7.418 Durbin-Watson: 1.398
Prob(Omnibus): 0.025 Jarque-Bera (JB): 7.256
Skew: 0.350 Prob(JB): 0.0266
Kurtosis: 3.352 Cond. No. 1.77e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.77e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [92]:
# Remove B

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "Zr(at%)", "Hf(at%)", 
                          "Si(at%)", "W(at%)", "C(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", "O(at%)", 
                          "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Log 10 (Elongation)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[92]:
OLS Regression Results
Dep. Variable: Log 10 (Elongation) R-squared (uncentered): 0.886
Model: OLS Adj. R-squared (uncentered): 0.879
Method: Least Squares F-statistic: 139.0
Date: Mon, 06 Sep 2021 Prob (F-statistic): 3.82e-117
Time: 20:55:52 Log-Likelihood: -208.41
No. Observations: 284 AIC: 446.8
Df Residuals: 269 BIC: 501.6
Df Model: 15
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) -0.0362 0.002 -21.075 0.000 -0.040 -0.033
Nb(at%) 0.0196 0.005 4.022 0.000 0.010 0.029
Cr(at%) -0.0485 0.027 -1.775 0.077 -0.102 0.005
Mo(at%) 0.1457 0.068 2.156 0.032 0.013 0.279
Zr(at%) -0.1809 0.059 -3.046 0.003 -0.298 -0.064
Hf(at%) -0.2304 0.071 -3.224 0.001 -0.371 -0.090
Si(at%) 1.4368 0.569 2.525 0.012 0.316 2.557
W(at%) -0.5182 0.157 -3.301 0.001 -0.827 -0.209
C(at%) 0.3550 0.048 7.426 0.000 0.261 0.449
Fe(at%) 0.1303 0.034 3.782 0.000 0.062 0.198
Ru(at%) 0.1905 0.085 2.239 0.026 0.023 0.358
Ni(at%) -0.1780 0.124 -1.433 0.153 -0.423 0.067
O(at%) 0.7507 0.992 0.757 0.450 -1.203 2.704
Test Temperature (°C) 0.0012 8.9e-05 13.101 0.000 0.001 0.001
Microstructure -0.0827 0.040 -2.087 0.038 -0.161 -0.005
Omnibus: 7.206 Durbin-Watson: 1.400
Prob(Omnibus): 0.027 Jarque-Bera (JB): 7.019
Skew: 0.346 Prob(JB): 0.0299
Kurtosis: 3.339 Cond. No. 1.75e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.75e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [93]:
# Remove O

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "Zr(at%)", "Hf(at%)", 
                          "Si(at%)", "W(at%)", "C(at%)", "Fe(at%)", "Ru(at%)", "Ni(at%)", 
                          "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Log 10 (Elongation)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[93]:
OLS Regression Results
Dep. Variable: Log 10 (Elongation) R-squared (uncentered): 0.886
Model: OLS Adj. R-squared (uncentered): 0.880
Method: Least Squares F-statistic: 149.2
Date: Mon, 06 Sep 2021 Prob (F-statistic): 4.07e-118
Time: 20:55:52 Log-Likelihood: -208.71
No. Observations: 284 AIC: 445.4
Df Residuals: 270 BIC: 496.5
Df Model: 14
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) -0.0356 0.002 -22.755 0.000 -0.039 -0.033
Nb(at%) 0.0193 0.005 3.972 0.000 0.010 0.029
Cr(at%) -0.0521 0.027 -1.937 0.054 -0.105 0.001
Mo(at%) 0.1441 0.068 2.135 0.034 0.011 0.277
Zr(at%) -0.1839 0.059 -3.106 0.002 -0.300 -0.067
Hf(at%) -0.2333 0.071 -3.272 0.001 -0.374 -0.093
Si(at%) 1.4248 0.568 2.506 0.013 0.306 2.544
W(at%) -0.5277 0.156 -3.375 0.001 -0.836 -0.220
C(at%) 0.3567 0.048 7.475 0.000 0.263 0.451
Fe(at%) 0.1295 0.034 3.762 0.000 0.062 0.197
Ru(at%) 0.1883 0.085 2.216 0.027 0.021 0.356
Ni(at%) -0.1770 0.124 -1.425 0.155 -0.421 0.067
Test Temperature (°C) 0.0012 8.88e-05 13.090 0.000 0.001 0.001
Microstructure -0.0922 0.038 -2.455 0.015 -0.166 -0.018
Omnibus: 7.588 Durbin-Watson: 1.400
Prob(Omnibus): 0.023 Jarque-Bera (JB): 7.515
Skew: 0.343 Prob(JB): 0.0233
Kurtosis: 3.404 Cond. No. 1.03e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.03e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
In [94]:
# Remove Ni

X_opt = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "Zr(at%)", "Hf(at%)", 
                          "Si(at%)", "W(at%)", "C(at%)", "Fe(at%)", "Ru(at%)", 
                          "Test Temperature (°C)", "Microstructure"]]

regressor_OLS = sm.OLS(endog = Encoded_Dataset_2["Log 10 (Elongation)"], exog = X_opt).fit()
regressor_OLS.summary()
Out[94]:
OLS Regression Results
Dep. Variable: Log 10 (Elongation) R-squared (uncentered): 0.885
Model: OLS Adj. R-squared (uncentered): 0.879
Method: Least Squares F-statistic: 159.9
Date: Mon, 06 Sep 2021 Prob (F-statistic): 8.63e-119
Time: 20:55:52 Log-Likelihood: -209.78
No. Observations: 284 AIC: 445.6
Df Residuals: 271 BIC: 493.0
Df Model: 13
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
Ti(at%) -0.0357 0.002 -22.738 0.000 -0.039 -0.033
Nb(at%) 0.0198 0.005 4.093 0.000 0.010 0.029
Cr(at%) -0.0559 0.027 -2.086 0.038 -0.109 -0.003
Mo(at%) 0.1478 0.068 2.188 0.030 0.015 0.281
Zr(at%) -0.1826 0.059 -3.078 0.002 -0.299 -0.066
Hf(at%) -0.2326 0.071 -3.256 0.001 -0.373 -0.092
Si(at%) 1.4328 0.570 2.516 0.012 0.312 2.554
W(at%) -0.5291 0.157 -3.377 0.001 -0.837 -0.221
C(at%) 0.3584 0.048 7.499 0.000 0.264 0.452
Fe(at%) 0.1302 0.034 3.776 0.000 0.062 0.198
Ru(at%) 0.1893 0.085 2.224 0.027 0.022 0.357
Test Temperature (°C) 0.0012 8.86e-05 13.235 0.000 0.001 0.001
Microstructure -0.0975 0.037 -2.604 0.010 -0.171 -0.024
Omnibus: 7.535 Durbin-Watson: 1.392
Prob(Omnibus): 0.023 Jarque-Bera (JB): 7.404
Skew: 0.349 Prob(JB): 0.0247
Kurtosis: 3.371 Cond. No. 1.03e+04


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 1.03e+04. This might indicate that there are
strong multicollinearity or other numerical problems.

4.14 Multilayer Perceptron (MLP) (Elongation)

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Once the ordinary least squares module was implemented and the leftover input independent (X) variables with the respective p-values of less than the threshold value of 0.05 were determined, the leftover independent (X) variables were set as the input columns and the dependent (y) variable (elongation) was set as the output for prediction. The input independent (X) variable columns which are statistically significant in the prediction of the elongation are the titanium (Ti(at%)), niobium (Nb(at%)), chromium (Cr(at%)), molybdenum (Mo(at%)), zirconium (Zr(at%)), hafnium (Hf(at%)), silicon (Si(at%)), tungsten (W(at%)), carbon (C(at%)), iron (Fe(at%)), ruthenium (Ru(at%)), test temperature (Test Temperature (°C)) and the microstructure (Microstructure) columns.

The standard configuration for the multilayer perceptron (MLP) model was similar as with the one used for the cost, yield strength and tensile strength predictions with data scaling where the respective leftover independent (X) variables and the dependent (y) variable (elongation) had to be scaled with the StandardScalar module as the multilayer perceptron (MLP) model may not be able to process the data and predict correctly. The scaling would produce normalized smaller values with centering and the multilayer perceptron (MLP) model will be able to process them properly and predict correctly.

Just as with the multilayer perceptron (MLP) model configuration seen for the cost, yield strength and tensile strength predictions, the RandomizedSearchCV module was used to determine the best hyperparameters which are the hidden layer sizes, activation function, solver, alpha value, learning rate and maximum number of iterations.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the number of hidden layers it chose was 1 with 23 neurons. This was based on the nested cross validation of the already split 80:20 (80% train and 20% test) dataset.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the solver it chose for the deep gradient descent and backwards propagation to reduce the loss function to determine the smallest loss for the loss function (gradient descent local minima) was the log-linear "lbfgs" which is also known as the limited-memory-BFGS activation function. This solver is non-linear but the logarithmic values are linear.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the alpha value it chose was 1.11 which is already a logarithmic value derived from the range of 0.0001 to 0.05. The value is not too high and not too low but this value can be problem specific and usually a value slightly larger than 1 is commonly used. Therefore, it can be a little difficult to tell if the model has been underfitted or overfitted but based on the value selected by the RandomizedSearchCV function, it can be assumed that the model is just nice due to the value of alpha not being greater than 3.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the learning rate it chose was adaptive which is a type of learning rate where the updating of the weights after each successive deep gradient descent is adaptive with improvement in every successive loss function with every successive gradient descent with back propagation until the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the maximum number of iterations it chose was 1589. This hyperparameter indicates how many forward propagations to impose through the summation of weights of the input feature variables in each layer of the neural network are transformed into the output which will be the predicted elongation. The more the number of times the loss function is calculated with differentiation to allow deep gradient descent to occur with the larger the number of times the errors contributing to the loss function are determined with backwards propagation, the larger the number of times those errors discovered with each iteration will be rectified with weights adjustments to improve the overall loss function with gradient descent and forward propagation with each iteration until the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence. The value of 1589 indicates that the smallest loss function is reached (minima of the gradient descent curve) with the smallest amount of errors with convergence after 1589 iterations.

Based on the hyperparameters chosen by the RandomizedSearchCV function, the activation function it chose was "tanh" which is the hyperbolic tangent scaled sigmoid activation function. This indicates that the prediction for the elongation may or may not be linear and since it chose the hyperbolic tangent scaled sigmoid activation function for the elongation prediction, the multilayer perceptron (MLP) model will work in such a way that the there can be a specified minimum and maximum range for the predicted output elongation values as the hyperbolic tangent scaled sigmoid activation function works with a scale from -1 to 1. The predicted relationship with the 20% test elongation values can also correlate in such a way that there will be specified minimum and maximum range when plotted on a graph.

The R2 value for the multilayer perceptron (MLP) model was 0.7959 with a normalized mean squared error of 0.20. This indicates that the multilayer perceptron (MLP) model is able to predict the elongation values using the input variables which have the most significant impact for the prediction based on the ordinary least squares (OLS) redundant input variables elimination as well as with the rest of the optimized hyperparameter selected by the RandomizedSearchCV function. The outcome will be used for the in-depth analysis during the graphical representation illustrated further, to produce the visualisation of how well the predicted elongation values from the multilayer perceptron (MLP) model (y_Random_Reg_Elongation_MLP_pred) correlate with the 20% (y_test_Elongation_MLP) elongation values as well as elaborate on how the hyperbolic tangent scaled sigmoid activation function contributes to the predicted output elongation values.

In [95]:
# MLP for Elongation

mySeed_MLP = np.random.seed(29)


# Define the MLP regressor

MLP = MLPRegressor(random_state = mySeed_MLP, shuffle = True)


# Define the independent (X) variable and dependent target (y) variable

X_Elongation_MLP, y_Elongation_MLP = Encoded_Dataset_2.loc[:, ["Ti(at%)", "Nb(at%)", "Cr(at%)", "Mo(at%)", "Zr(at%)", "Hf(at%)", "Si(at%)", "W(at%)", "C(at%)", "Fe(at%)", "Ru(at%)", "Test Temperature (°C)", "Microstructure"]], Encoded_Dataset_2["Log 10 (Elongation)"]


# Reshape the dependent (y) target variable into an array

y_reshape_Elongation_MLP = y_Elongation_MLP.values.reshape(-1, 1)


# Perform the train-test split

X_train_Elongation_MLP, X_test_Elongation_MLP, y_train_Elongation_MLP, y_test_Elongation_MLP = train_test_split(X_Elongation_MLP, y_reshape_Elongation_MLP, 
                                                                                                               train_size = 0.8, test_size = 0.2)

# Perform scaling and centering of data

SS = StandardScaler()

X_Elongation_scale_MLP = SS.fit_transform(X_Elongation_MLP) 
y_Elongation_scale_MLP = SS.fit_transform(y_reshape_Elongation_MLP)

X_train_Elongation_scale_MLP = SS.fit_transform(X_train_Elongation_MLP)  
X_test_Elongation_scale_MLP = SS.fit_transform(X_test_Elongation_MLP)
y_train_Elongation_scale_MLP = SS.fit_transform(y_train_Elongation_MLP)  
y_test_Elongation_scale_MLP = SS.fit_transform(y_test_Elongation_MLP)


# Initialize the random grid

Random_Grid_Elongation = {"hidden_layer_sizes": [int(g) for g in np.arange(1,100)], 
                          "activation": ["relu", "tanh", "logistic"],
                          "solver": ["adam", "sgd", "lbfgs"], 
                          "alpha": [float(h) for h in np.logspace(0.0001,0.05)],
                          "learning_rate": ["constant", "adaptive"],
                          "max_iter": np.arange(1,10000,1)}


# Apply the RandomizedSearchCV

Random_Reg_Elongation_MLP = RandomizedSearchCV(MLP, Random_Grid_Elongation, n_jobs =- 1, cv = 5)


# Fit MLP using the optimized hyperparameters

Random_Reg_Elongation_MLP.fit(X_train_Elongation_scale_MLP, y_train_Elongation_scale_MLP.ravel())

Random_Reg_Elongation_MLP
Out[95]:
RandomizedSearchCV(cv=5, estimator=MLPRegressor(), n_jobs=-1,
                   param_distributions={'activation': ['relu', 'tanh',
                                                       'logistic'],
                                        'alpha': [1.0002302850208247,
                                                  1.0025784544921414,
                                                  1.0049321365938482,
                                                  1.0072913442675548,
                                                  1.0096560904852534,
                                                  1.01202638824939,
                                                  1.014402250592935,
                                                  1.0167836905794556,
                                                  1.019170721303187,
                                                  1.0215633558891057,
                                                  1.023961607493,
                                                  1.026365489301543,
                                                  1....
                                                  1.0556560693917905,
                                                  1.0581343580333953,
                                                  1.0606184647769075,
                                                  1.0631084032810711,
                                                  1.065604187236696,
                                                  1.0681058303667321,
                                                  1.0706133464263468, ...],
                                        'hidden_layer_sizes': [1, 2, 3, 4, 5, 6,
                                                               7, 8, 9, 10, 11,
                                                               12, 13, 14, 15,
                                                               16, 17, 18, 19,
                                                               20, 21, 22, 23,
                                                               24, 25, 26, 27,
                                                               28, 29, 30, ...],
                                        'learning_rate': ['constant',
                                                          'adaptive'],
                                        'max_iter': array([   1,    2,    3, ..., 9997, 9998, 9999]),
                                        'solver': ['adam', 'sgd', 'lbfgs']})
In [96]:
# MLP best parameters (Elongation)

Random_Reg_Elongation_MLP.best_params_
Out[96]:
{'solver': 'lbfgs',
 'max_iter': 1589,
 'learning_rate': 'adaptive',
 'hidden_layer_sizes': 23,
 'alpha': 1.1089402918498994,
 'activation': 'tanh'}
In [97]:
# MLP best estimator (Elongation)

Random_Reg_Elongation_MLP.best_estimator_
Out[97]:
MLPRegressor(activation='tanh', alpha=1.1089402918498994, hidden_layer_sizes=23,
             learning_rate='adaptive', max_iter=1589, solver='lbfgs')
In [98]:
# MLP elongation prediction

y_Random_Reg_Elongation_MLP_pred = Random_Reg_Elongation_MLP.predict(X_test_Elongation_scale_MLP)

print("R² Value = %.4f" % r2_score(SS.inverse_transform(y_test_Elongation_scale_MLP), SS.inverse_transform(y_Random_Reg_Elongation_MLP_pred)))
print("Mean Squared Error = %.2f" % mean_squared_error(y_test_Elongation_scale_MLP, y_Random_Reg_Elongation_MLP_pred))
print("Mean Squared Error (Non-Normalized) = %.2f" % mean_squared_error(SS.inverse_transform(y_test_Elongation_scale_MLP), SS.inverse_transform(y_Random_Reg_Elongation_MLP_pred)))
R² Value = 0.7959
Mean Squared Error = 0.20
Mean Squared Error (Non-Normalized) = 0.09

4.15 Dataframe Representation of Predicted Output Elongation Values (MLP) with Input Target Elongation Values (MLP)

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Once the predicted elongation values from the multilayer perceptron (MLP) model (y_Random_Reg_Elongation_MLP_pred) have been made according to (80:20) train-test split and the seed value of 29 for randomizing and shuffling with hyperparameters optimization from the RandomSearchCV function, the predicted results were added into a independent dataframe which contained the remaining 20% (y_test_Elongation_MLP) elongation values and the predicted (y_Random_Reg_Elongation_MLP_pred) elongation values in 2 seperate columns for visualisation of the predicted elongation values (y_Random_Reg_Elongation_MLP_pred) against the 20% (y_test_Elongation_MLP) actual elongation values.

The predicted elongation values (y_Random_Reg_Elongation_MLP_pred) when correlated with the test elongation values, have a R2 value of 0.7959 with a normalized mean squared error of 0.20 which is also generally good for elongation prediction as the correlations between the elongation with the input independent (X) variables defined by the ordinary least squared (OLS) module are generally good but not excellent. However, if all the elements atomic percentages (at%) and the encoded synthesis methods and microstructure are set as the input independent (X) variables, the R2 will definitely be worse than 0.7959 as it will incorporate the redundant correlations which have little to no effect on the prediction of the elongation and thereby, affect the predictions and produce bad R2 values. However, the non-normalized error is 0.09 which is actually good as well and this can be a good indication that the elongation values were generally well predicted with the multilayer perceptron (MLP) model due to very low mean squared errors for both the normalized and non-normalized variations.

In [99]:
# Insert the predicted output elongation values with the input target elongation values

MLP_Elongation_Comparison = pd.DataFrame(SS.inverse_transform(y_test_Elongation_scale_MLP), columns = ["Log 10 Elongation Values MLP (y_test)"])
MLP_Elongation_Comparison.insert(1, "Log 10 Elongation Values MLP (y_pred)", SS.inverse_transform(y_Random_Reg_Elongation_MLP_pred))
MLP_Elongation_Comparison
Out[99]:
Log 10 Elongation Values MLP (y_test) Log 10 Elongation Values MLP (y_pred)
0 -1.578396 -0.904467
1 -1.455932 -1.616513
2 -0.431798 -0.841105
3 -1.847712 -1.951510
4 -2.698970 -2.544057
5 -1.485452 -1.656738
6 -2.000000 -1.824411
7 -0.677781 -1.017742
8 -1.193820 -1.198569
9 -0.978811 -1.141669
10 -1.332547 -1.397399
11 -0.397940 -0.818535
12 -0.638272 -0.738366
13 -2.036212 -2.013572
14 -1.879426 -2.015946
15 -2.086186 -2.467519
16 -1.522879 -1.396113
17 -1.508638 -1.916311
18 -2.096910 -1.656738
19 -2.096910 -1.950420
20 -2.221849 -2.289449
21 -1.838632 -2.013572
22 -2.301030 -2.008400
23 -0.142668 -0.519236
24 -1.096910 -0.880496
25 -1.823909 -1.287379
26 -1.853872 -1.673281
27 -1.091515 -1.017742
28 -2.167491 -2.013572
29 -1.295849 -1.656738
30 -2.408935 -2.559712
31 -0.397940 -1.198569
32 -1.143271 -1.385522
33 -2.050610 -1.656600
34 -1.431798 -1.209275
35 -2.055517 -2.013572
36 -1.337242 -1.873981
37 -0.966576 -0.920989
38 -2.522879 -2.521881
39 -0.080922 -0.557368
40 -1.283997 -1.455258
41 -1.886057 -2.024041
42 -0.327902 -0.749723
43 -1.124939 -1.385522
44 -1.221849 -1.287379
45 -0.939302 -1.127417
46 -1.744727 -1.916311
47 -1.465974 -1.729510
48 -1.832683 -2.015946
49 -1.000000 -0.781404
50 -1.823909 -2.096676
51 -0.026872 -0.260980
52 -1.705534 -1.464995
53 -2.119186 -2.013572
54 -2.045757 -2.467519
55 -1.465974 -1.656738
56 -0.677781 -0.947427

4.16 Graphical Representation of Predicted Output Elongation Values (MLP) with Input Target Elongation Values (MLP)

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This graphical representation was made to show the visualisation of the predicted elongation values from the hyperparameter optimized multilayer perceptron (MLP) model (y_Random_Reg_Elongation_MLP_pred) against the 20% test elongation values (y_test_Elongation_MLP). The blue scatter plot represents the correlation relationship between the predicted elongation values (y_Random_Reg_Elongation_MLP_pred) against the 20% test elongation values (y_test_Elongation_MLP).

The trendline was also calculated using a polynomial fit to produce the trendline of the blue scatter plot with its equation displayed. The R2 value produced from the multilayer perceptron (MLP) model and the R2 value calculated from the trendline were also displayed accordingly. The R2 value from the multilayer perceptron (MLP) model was 0.7959 while the one calculated from the trendline was 0.814.

Based on the comparison of the R2 values from both the multilayer perceptron (MLP) model and the one from the trendline, both are very similar. It should be noted that there are some outliers present which is expected due to the complexity of the elongation prediction with respect to the indpendent input variables used according to the ordinary least squares (OLS) module. This is one of the challenges faced when predicting the elongation just like for yield strength prediction. However, based on the R2 value of 0.7959 from the multilayer perceptron (MLP) model and the indpendent input variables used according to the ordinary least squares (OLS) module, it can be considered to be a good prediction with room for improvement.

The unique factor for the elongation prediction was the fact that the logarithmic values for the elogations lie between a specified range. As they lie within the specified range, the RandomizedSearchCV function chose the hyperbolic tangent scaled sigmoid activation function ("tanh") as this activation function works with a scale from -1 to 1 which coincides with the specified range of the logarithmic elongation values where they can lie between the negative and positive range and the multilayer perceptron (MLP) model worked in such a way that the there was a specified minimum and maximum range for the predicted output elongation values, in which in this case, based on the graphical representation, was -2.5 to 0.5 with some linearity. The 20% test logarithmic elongation values (y_test_Elongation_MLP) also had a range of -2.5 to 0.0. This phenomenon can be clearly seen from the graphical representation.

In [100]:
# MLP Elongation Graph


# Definition of x and y axes variables

Elongation_Plot_MLP = MLP_Elongation_Comparison.plot.scatter(x = "Log 10 Elongation Values MLP (y_test)", y = "Log 10 Elongation Values MLP (y_pred)", c="Blue", 
                                                                     figsize = (10, 7))


Legend_Elongation_MLP = plt.legend(["Elongation Values MLP (y_pred) Vs. Elongation Values MLP (y_test)"], title = None, bbox_to_anchor = (1, 0.9), 
                                       loc = "lower left")

plt.gca().add_artist(Legend_Elongation_MLP)


# Display trendline, respective equation and trendline R2 value

x_Elongation_MLP = MLP_Elongation_Comparison["Log 10 Elongation Values MLP (y_test)"]
y_Elongation_MLP = MLP_Elongation_Comparison["Log 10 Elongation Values MLP (y_pred)"]
z_Elongation_MLP = np.polyfit(x_Elongation_MLP, y_Elongation_MLP, 1)
p_Elongation_MLP = np.poly1d(z_Elongation_MLP)
y_hat_Elongation_MLP = np.poly1d(z_Elongation_MLP)(x_Elongation_MLP)

Text_Elongation_MLP = f"y = {z_Elongation_MLP[0]:0.3f}x{z_Elongation_MLP[1]:+0.3f}\nR² (Trendline) = {r2_score(y_Elongation_MLP, y_hat_Elongation_MLP):0.3f}"

Trendline_Elongation_MLP = plt.plot(x_Elongation_MLP, p(x_Elongation_MLP), c = "Red")

Legend_Reference_Elongation_MLP = plt.legend(["Data Trendline"], title = None, bbox_to_anchor = (1, 0.9), loc = "upper left")


# Plotting of MLP Elongation Graph

plt.title("Graph of Predicted Output Log 10 (Elongation) Values MLP (y_pred) Vs. True Input Elongation Values MLP (y_test)")
plt.xlabel("True Input Log 10 (Elongation) Values MLP (y_test)")
plt.ylabel("Predicted Output Elongation Values MLP (y_pred)")

print("Elongation (Log 10) (MLP Regression)")
print(" ")
print("R² Value = %.4f" % r2_score(SS.inverse_transform(y_test_Elongation_scale_MLP), SS.inverse_transform(y_Random_Reg_Elongation_MLP_pred)))
print("Mean Squared Error = %.2f" % mean_squared_error(y_test_Elongation_scale_MLP, y_Random_Reg_Elongation_MLP_pred))
print("Mean Squared Error (Non-Normalized) = %.2f" % mean_squared_error(SS.inverse_transform(y_test_Elongation_scale_MLP), SS.inverse_transform(y_Random_Reg_Elongation_MLP_pred)))
print(" ")
print(Text_Elongation_MLP)
print(" ")

plt.show()
Elongation (Log 10) (MLP Regression)
 
R² Value = 0.7959
Mean Squared Error = 0.20
Mean Squared Error (Non-Normalized) = 0.09
 
y = 0.785x-0.397
R² (Trendline) = 0.814
 

5. Linear Regression Model Vs. Multilayer Perceptron (MLP) Vs. Alchemite

5.1 Alchemite

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Apart from the linear regression model and the multilayer perceptron (MLP) model in python, Alchemite was also used to predict the output costs in a similar way that the linear regression model did. Alchemite was also used to predict the yield strength,, tensile strength and elongation (Log 10). However, there are several differences which will be discussed. Alchemite is a neural network created by Intellegens in UK and it is specifically used for property predictions of different materials as well as for drug delivery predictive purposes. It uses various forms of algorithms which are executed by JSON files for predictions.

The similarities between python's linear regression model and Alchemite is that the standard data splitting into the training sets and test sets, randomizations and shuffling with the defining of the independent (X) and dependent (y) variables before doing any predictions, are common to both machine learning methods. However, Alchemite has parameters such as gradient tilting, gradient directions, iteration layers, extra validation etc. which are features that are similar to the multilayer perceptron (MLP) model's avtivation function, solver, maximum iterations, hidden layer sizes and alpha etc. as they are both neural networks.

Alchemite’s parameters can also be enhanced with python's hyperparameter optimization code which can run at least a 200 test runs which imports the operating system and it is executed through command lines to produce the best hyperparameters for any specific training and testing datasets through various defined automated fitting mechanisms.

The test runs are automated trials of data fitting and the 5-fold nested cross validation, hold-out cross validation, 1-time fixed 80:20 split with several gradient tilting functions, nodes definition functions and Alchemite-specific extracted files etc. will be utilised to determine which of these can provide the best combinations for the model fitting. Once the best combinations are determined with the appropriate fitting model through the 200 test runs of fitting, the corresponding hyperparameters will be the optimized hyperparameters and they will be extracted and written in the JSON file code format automatically.

The resultant optimized hyperparameters can then be used from the JSON file to specify the instructions for Alchemite to run with while incorporating the training and testing datasets. The hyperparameter optimization python code could not be shared in this coursework as permission could not be granted by Alchemite for free-sharing purposes. However, permission has been granted by Alchemite to share a sample JSON file code that Alchemite uses. The sample JSON file code includes some descriptions of the several instructions seen which are executed through command lines in Alchemite to determine the R2 values.

5.2 Alchemite JSON File Code

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Sample JSON code used by Alchemite for property predictions

Training file and training task specifications

{
    "training": {
    "input nodes":25, (input nodes define the input columns for the independent X variable)
    "descriptor columns":25, (descriptor columns also define of the input columns for the independent X variable)
    "fraction divisions tried":1

Tasks to be executed

},
"tasks":["train","validate"], (train is the training task (80% train) and validate is the validation task (20% test)

Network parameters

"network": {
    "distribution samples": 4000, (number of times the model will iterate to produce optimal prediction results)
    "iteration layers": 1, (used to compensate for missing values)
    "data for intercept": 2,
    "data for gradient": 5,   (used for gradient tilting to produce better fitting)
    "gradient directions": 2, (used for gradient tilting to produce better fitting)
    "data in gradient": 1,
    "data in intercept": 1,
},

Extra validation task

"validation":{
    "coefficient of determination elements":true
}

}

5.3 Linear Regression Model Vs. Multilayer Perceptron (MLP) Vs. Alchemite (Cost Prediction)

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For the cost predictions, both the linear regression model and Alchemite provide similar R2 values although there is a slight difference. However, it can be noted that both methods have R2 values which are extremely close to 1 (Linear regression model (R2 = 0.9989)) (Alchemite (R2 = 0.9751)). When compared with the multilayer perceptron (MLP) model, the and the multilayer perceptron (MLP) model is able to also have a near perfect match with the linear regression and Alchemite. This can indicate that all 3 machine learning methods can provide excellent predictions.

In [101]:
# R2 values comparison from Alchemite, linear regression and MLP (Cost predictions)


# Display results from linear regression and MLP (mySeed = 1234555) (Best result)

Result_Main_1 = Image.open(r"./Best_Result.png")
Result_Main_2 = Image.open(r"./CostMLP.png")


print("Linear Regression Model Best Results (Seed Value = 1234555)")
plt.imshow(Result_Main_1)
plt.show()
print(" ")


print("Multilayer Perceptron (MLP) Model Results (Seed Value = 1234555)")
plt.imshow(Result_Main_2)
plt.show()
print(" ")


# Display results from Alchemite

Alchemite_Cost_Linear = Image.open(r"./Alchemite.png")

print("Alchemite Results (Only Cost)")
plt.imshow(Alchemite_Cost_Linear)
plt.show()
print(" ")
Linear Regression Model Best Results (Seed Value = 1234555)
 
Multilayer Perceptron (MLP) Model Results (Seed Value = 1234555)
 
Alchemite Results (Only Cost)
 

5.4 Multilayer Perceptron (MLP) Vs. Alchemite (Yield Strength Prediction)

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For the yield strength predictions, both the multilayer perceptron (MLP) model and Alchemite provide somewhat similar R2 values (R2 (MLP) = 0.8394 and R2 (Alchemite) = 0.7218) although there is a slight difference. As the multilayer perceptron (MLP) model was trained with the optimized hyperparameters from the RandomSearchCV with the input variables selected by the ordinary least squared (OLS) module, these configurations may not have been applied with Alchemite although there may be some similarity between both neural networks for the prediction of the yield strength.

Alchemite also uses deep gradient descent to improve the loss function through backwards propagation although the type of solver, alpha values and learning rates, hidden layer sizes and activation function may have been different with 200 fixed iterations for the hyperparameter optimization which was based on Alchemite's hyperparameter optimization python script. This could be one of the major reasons why the difference between both R2 values have a slight difference of 0.12 which can be considered to be quite good in terms of predictive abilities as both neural networks are able to predict the yield strength in a similar manner.

The error in uncertainties in Alchemite is the equivalent to the multilayer perceptron (MLP) model's mean squared error and it has a value of 0.073 (normalized) while the multilayer perceptron (MLP) model's mean squared error (normalized) is 0.28. Although there is a slightly higher normalized mean squared error for the multilayer perceptron (MLP) model, the overall combination of the respective R2 values combined with the respective mean squared errors for both models are very much similar although different configurations may have been used, indicating that both models can predict the yield strength based on their individual configurations and optimized hyperparameters overall.

In [102]:
# R2 values comparison from Alchemite and MLP (yield strength predictions)


# Display results from MLP (mySeed = 20) (Best result)

Result_Main_1 = Image.open(r"./YieldMLP.png")

print("Multilayer Perceptron (MLP) Model Results (Seed Value = 20)")
plt.imshow(Result_Main_1)
plt.show()
print(" ")


# Display results from Alchemite

Alchemite_Yield = Image.open(r"./Alchemite2.png")

print("Alchemite Results (Column 24 = Yield Strength)")
plt.imshow(Alchemite_Yield)
plt.show()
print(" ")
Multilayer Perceptron (MLP) Model Results (Seed Value = 20)
 
Alchemite Results (Column 24 = Yield Strength)
 

5.5 Multilayer Perceptron (MLP) Vs. Alchemite (Tensile Strength Prediction)

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For the tensile strength predictions, both the multilayer perceptron (MLP) model and Alchemite provide very similar R2 values with a very small difference of 0.033. This can indicate that both machine learning methods can provide very good predictions for the tensile strength and the near perfect match of the R2 values of both models (R2 (MLP) = 0.8444 and R2 (Alchemite) = 0.8115) indicates that their individual configurations with their individual optimized hyperparameters are capable of predicting the tensile strength even though there were differences between the type of solver, alpha values and learning rates, hidden layer sizes, activation function and the maximum number of iterations to reach convergence with minimal loss function errors. Thes tensile strength predictions were slightly better than the yield strength predictions at least for the multilayer perceptron (MLP) model.

The error in uncertainties in Alchemite is the equivalent to the multilayer perceptron (MLP) model's mean squared error and it has a value of 0.083 (normalized) while the multilayer perceptron (MLP) model's mean squared error (normalized) is 0.16. Although there is a slightly higher normalized mean squared error for the multilayer perceptron (MLP) model, the overall combination of the respective R2 values combined with the respective mean squared errors for both models are very much similar although different configurations have been used, indicating that both models can predict the yield strength based on their individual configurations and optimized hyperparameters overall.

In [103]:
# R2 values comparison from Alchemite and MLP (tensile strength predictions)


# Display results from MLP (mySeed = 14) (Best result)

Result_Main_1 = Image.open(r"./TensileMLP.png")

print("Linear Regression Model Best Results (Seed Value = 14)")
plt.imshow(Result_Main_1)
plt.show()
print(" ")


# Display results from Alchemite

Alchemite_Tensile = Image.open(r"./Alchemite2.png")

print("Alchemite Results (Column 25 = Tensile Strength)")
plt.imshow(Alchemite_Tensile)
plt.show()
print(" ")
Linear Regression Model Best Results (Seed Value = 14)
 
Alchemite Results (Column 25 = Tensile Strength)
 

5.6 Multilayer Perceptron (MLP) Vs. Alchemite (Elongation Prediction)

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For the elongation predictions, only the multilayer perceptron (MLP) model was able to provide a good prediction with a R2 value of 0.7959. The R2 value attained by Alchemite was 0.4467 which is not acceptable as the R2 value is considered to be very low and the difference between both R2 values is 0.3492 which is also unacceptable.

Alchemite was therefore, unable to produce similar results as with the multilayer perceptron (MLP) model. This could be possible due to the configuration of Alchemite with its hyperparameter optimization. Although it is not possible to determine what the exact pipeline flow of tasks are due to Alchemite being run using command lines, it can be deduced that some of its hyperparameters that were optimized may not have been favourable in the prediction of the elongation values compared to the multilayer perceptron (MLP) model. This could also be further enhanced by the fact that the number of iterations were fixed to 200 for Alchemite and a convergence could not have been reached with the backwards propagation with deep gradient descent the improval of the loss function (local minima for loss function could not have been reached).

The error in uncertainties in Alchemite is the equivalent to the multilayer perceptron (MLP) model's mean squared error and it has a value of 0.1527 (normalized) while the multilayer perceptron (MLP) model's mean squared error (normalized) is 0.20. Although there is a slightly higher normalized mean squared error for the multilayer perceptron (MLP) model, both mean squared values are insignificant in this case as the R2 values are very different from each other with Alchemite having a very low R2 value of 0.3492 which is not feasible. Alchemite's inability to properly predict the elongation values can be improved by further fine tuning its hyperparameters and increasing the number if iterations to reach convergence through the deep gradient descent.

In [104]:
# R2 values comparison from Alchemite and MLP (elongation predictions)


# Display results from MLP (mySeed = 29) (Best result)

Result_Main_1 = Image.open(r"./ElongationMLP.png")

print("Linear Regression Model Best Results (Seed Value = 29)")
plt.imshow(Result_Main_1)
plt.show()
print(" ")


# Display results from Alchemite

Alchemite_Elongation = Image.open(r"./Alchemite2.png")

print("Alchemite Results (Column 26 = Elongation (Log 10))")
plt.imshow(Alchemite_Elongation)
plt.show()
print(" ")
Linear Regression Model Best Results (Seed Value = 29)
 
Alchemite Results (Column 26 = Elongation (Log 10))
 

5.7 Methodology Principle For Multilayer Perceptron (MLP) Configuration and Alchemite

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The overall methodology used for the predictions of the cost, yield strength, tensile strength and elongation (Log 10) properties was based on the principle of using existing properties to predict a new set of properties. To predict the cost, the elements atomic percentages (at%) was the essential components needed as they were converted to weight percentages (wt%) and those weight percentages (wt%) were used to calculate the cost using the atomic weights of every individual element. As the elements weight percentages (wt%) were directly used for the calculation of the costs which contributed to the cost training (y_train) and cost testing (y_test) data, the predicted cost values had a near perfect linear fit with cost testing (y_test) values regardless of whether the linear regression model or the multilayer perceptron (MLP) model was used.

This was not the same for the prediction of the yield strength, tensile strength and the elongation values. This was because neither of the 3 mechanical properties for the training and testing components were calculated using the elements percentages properties or using the encoded categorical variables (synthesis methods and microstructure). All values of the 3 mechanical properties which contributed to their individual training and testing datasets were taken from research papers, journals and textbooks. This implies that the values for all 3 mechanical properties were actually independent from the elements percentages properties and the encoded categorical variables (synthesis methods and microstructure). This is also why it will be a challenge to predict all 3 properties with the use of the elements percentages properties and the encoded categorical variables (synthesis methods and microstructure).

However, it should be noted that none of the values for all 3 mechanical properties were used in the ordinary least squares (OLS) module in order to determine the best individual input columns for predicting one another. This was because, to determine any of the 3 mechanical properties, they must always be the dependent (y) variable and not part of the independent (X) variable even though any of the 3 mechanical properties can very well have excellent pearson correlations with each other. An example would be the pearson correlation between the yield strength and tensile strength which was the strongest among all other variables although they were not set to be part of the independent (X) variables in the ordinary least squares (OLS) module to determine the best individual input columns.

This was because, to design a new material, the principle is such that the mechanical properties such as yield strength, tensile strength and elongations will be unknown as the material has not been synthesized yet. The basic premise would be to try and predict what the properties will be like by using the variables that can be known and will contribute to the creation of those 3 mechanical properties. This principle and premise was implemented in the ordinary least squares (OLS) module to determine the best individual input columns by not including any of the columns that contained the values of the 3 mechanical properties which would contribute to their individual training and testing datasets. This was one of the reasons why the R2 values for all 3 mechanical properties could not get pass 0.9 and there are higher chances of outliers to appear as seen in the graphical representations as some of the strongest correlations which can lie between any of the 3 mechanical properties to be predicted (yield strength and tensile strength perarson correlation being the strongest) were not considered as input columns in the ordinary least squares (OLS) module to determine the best individual input columns. The overall methodology was also implemented in Alchemite for the prediction of all 3 mechanical properties.

6. Limitations and Challenges

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While doing this courswork, there were several challenges seen. The first challenge was to determine on how to determine the hyperparameters and what was the purpose of each hyperparameter. This was important as the optimized hyperparameters based on the dataset and neural network used, will determine if the predictions will be accurate or not. After some research, it was determined that the most important hyperparameters for the multilayer perceptron (MLP) neural network model can be optimized with either the GridSearchCV or RandomizedSearchCV.

Ultimately, RandomizedSearchCV was used as the number of features were large, complex and there was no way to tell what the range of hyperparameters to specify will be which is seen in GridSearchCV where it performs a gridsearch based on specified range of values for the hyperparameters to optimize and it is more useful for smaller, less complex datasets. Therefore, RandomizedSearchCV was used to search through a large space and determine the random factors which would contribute to the optimization of the hyperparameters.

The second challenge was not being to reach convergence with deep gradient descent with the lowest loss function (minima of gradient descent curve). This was because the solver could not perform the deep gradient descent with backpropagation to determine the smallest loss function error with the range of the number of maximum iterations defined. Therefore, to address this problem, the number of iterations was increased to 10000 which could help reach the local minima with the smallest loss function error with the chosen solver for gradient descent and backpropagation.

The third challenge was to determine why the R2 values for the predictions of the 3 mechanical properties were not good initially. This was due to the use of all columns that were defined as the independent (X) columns and whether if each input column was statistically significant or not, was not considered. This is where the ordinary least squares (OLS) module was implemented and the statistically significant columns (p-value < 0.05) for the predictions of each of the 3 mechanical properties, were retained with backwards elimination of the input columns that had no statistical significance (p-value > 0.05) in the prediction of any of the 3 mechanical properties. This procedure had a significant improvement on the prediction of the 3 mechanical properties and the R2 values were much better.

The fourth challenge was to check if the "identity" activation function was needed for the prediction of the 3 mechanical properties. The "identity" activation function is essentially the very basic linear function where the range is y=x and it can reach infinity for both axes and also be negative. The yield strength and tensile strength was impossible to be negative which is why it was not applicable. The elongation values were already logarithmic and there was a high chance that the activation function chosen will also not be linear for the prediction of the logarithmic elongation values as logarithmic relationships plotted a graph are non-linear in nature. The identity" activation function was however, applicable for the cost prediction as it was evident that the cost prediction relationship was linear between the predicted cost values and the test cost values. It was also assumed that the relationship may not be linear for the other 3 mechanical properties as well. Therefore, the "identity" activation function was not defeined as one of the activation functions to choose from for the RandomizedSearchCV for the 3 mechanical properties.

7. Conclusion

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Overall, the multilayer perceptron (MLP) model was able to predict the cost, yield strength, tensile strength and elongation values based on the optimized hyperparameters determined from the RandomizedSearchCV module and the statistically significant (p-value < 0.05) input variables determined from the ordinary least squares (OLS) module. The R2 value for the yield strength prediction was 0.7218. The R2 value or the tensile strength prediction was 0.8444. The R2 value for the elongation prediction was 0.7959. The R2 values were not expected to rise above 0.9 as the strongest correlations between any of the 3 mechanical properties (yield strength, tensile strength and elongation) were not taken into consideration during the elimination of the statistically insignificant (p-value > 0.05) input variables.

This was due to the principle that the 3 mechanical properties cannot exist if a new material has not yet been synthesized and it is not viable to use the values of the already existing mechanical properties to predict other unknown mechanical properties. The viable approach will be to follow the principle that mechanical properties can only exist if a material has been synthesized and therefore, the factors that will contribute to the creating of mechanical properties will be the compositions of the elements present, synthesis methods and the microstructure. The values for the 3 mechanical properties will only be used as the training and testing values to train the multilayer perceptron (MLP) model and allow it to predict the new values for the respective mechanical properties and compare them with the test values of the respective mechanical properties.

When compared with the predictions done by Alchemite, it was seen that the predictions for the yield strength and tensile strength were generally good with small differences between the R2 values of the multilayer perceptron (MLP) model and Alchemite. However, Alchemite was not able to properly predict the elongation values compared to the multilayer perceptron (MLP) model. This could be because the maximum number of iterations set in Alchemite was 200 and it was possible that convergence could not have been reached with deep gradient descent to reduce the loss function error to the smallest amount (minima of the gradient descent curve). One way this problem can be rectified is by increasing the number of iterations until convergence is reached and the R2 value based on the new predictions can improve. Another method could be to further optimize Alchemite's other hyperparameters as well.

8. Future Work

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One such task for the future would be to expand the dataset with more rows of more variations of the (γ) and ((α2) + (γ)) titanium alumimides with more data in the input columns such as elements atomic compositions, synthesis methods and microstructures. This could potentially improve the training of the neural network model regardless of it being the multilayer perceptron (MLP) model or Alchemite. Once there is more data present, the hyperparameters for both neural networks can be optimized until the best variables for their respective hyperparameters are chosen.

The ordinary least squares (OLS) module can then be applied for the multilayer perceptron (MLP) model to isolate the statistically significant input variables that have an impact on the predictions of the 3 mechanical properties (yield strength, tensile strength and elongation). The number of iterations for Alchemite can also be increased to achieve convergence through gradient descent to minimise the loss error function at least for the prediction of elongation.

Once both neural networks have significant predictions with good R2 values of at least above 0.7, particle swarm optimization can be implemented onto the predicted results from both neural networks for all 3 mechanical properties as well as for the cost, to further improve the predicted values to determine what the best combination of the cost and the 3 mechanical properties can be through the particle swarm optimization.

If the best combination or combinations of the newly predicted output mechanical properties through the particle swarm optimization is/are feasible for use in high temperature sections of the aircraft engines and can be made into reality with the synthesis of the corresponding new (γ) and (α2 + γ) titanium alloy/alloys based on the current processing methods available, the artificial neural networks multilayer perceptron (MLP), Alchemite and particle swarm optimization would have successfully incorporated a good and suitable predictive model to predict the material properties for new (γ) and (α2 + γ) titanium aluminide alloy/alloys for high temperature aerospace applications which would in turn, fulfil the final outcome of the actual project.

9. References

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  1. Intellegens Chief Technical Officer Dr Gareth Conduit
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